Upload 41 files
Browse files- .gitattributes +1 -0
- both_models/sentence_transformer_model/1_Pooling/config.json +7 -0
- both_models/sentence_transformer_model/README.md +88 -0
- both_models/sentence_transformer_model/config.json +24 -0
- both_models/sentence_transformer_model/config_sentence_transformers.json +7 -0
- both_models/sentence_transformer_model/modules.json +20 -0
- both_models/sentence_transformer_model/pytorch_model.bin +3 -0
- both_models/sentence_transformer_model/sentence_bert_config.json +4 -0
- both_models/sentence_transformer_model/special_tokens_map.json +15 -0
- both_models/sentence_transformer_model/tokenizer.json +0 -0
- both_models/sentence_transformer_model/tokenizer_config.json +15 -0
- both_models/sentence_transformer_model/vocab.txt +0 -0
- both_models/spacy_ner_model/MANIFEST.in +4 -0
- both_models/spacy_ner_model/README.md +34 -0
- both_models/spacy_ner_model/dist/en_pipeline-0.0.0.tar.gz +3 -0
- both_models/spacy_ner_model/en_pipeline.egg-info/PKG-INFO +41 -0
- both_models/spacy_ner_model/en_pipeline.egg-info/SOURCES.txt +29 -0
- both_models/spacy_ner_model/en_pipeline.egg-info/dependency_links.txt +1 -0
- both_models/spacy_ner_model/en_pipeline.egg-info/entry_points.txt +2 -0
- both_models/spacy_ner_model/en_pipeline.egg-info/not-zip-safe +1 -0
- both_models/spacy_ner_model/en_pipeline.egg-info/requires.txt +1 -0
- both_models/spacy_ner_model/en_pipeline.egg-info/top_level.txt +1 -0
- both_models/spacy_ner_model/en_pipeline/__init__.py +10 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/README.md +34 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/config.cfg +153 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/entity_ruler/cfg +5 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/entity_ruler/patterns.jsonl +101 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/meta.json +68 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/ner/cfg +13 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/ner/model +0 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/ner/moves +1 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/tok2vec/cfg +3 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/tok2vec/model +3 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/tokenizer +3 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/vocab/key2row +1 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/vocab/lookups.bin +3 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/vocab/strings.json +2572 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/vocab/vectors +0 -0
- both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/vocab/vectors.cfg +3 -0
- both_models/spacy_ner_model/en_pipeline/meta.json +68 -0
- both_models/spacy_ner_model/meta.json +68 -0
- both_models/spacy_ner_model/setup.py +72 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/tok2vec/model filter=lfs diff=lfs merge=lfs -text
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both_models/sentence_transformer_model/1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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}
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both_models/sentence_transformer_model/README.md
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---
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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---
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# {MODEL_NAME}
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('{MODEL_NAME}')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Evaluation Results
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<!--- Describe how your model was evaluated -->
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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## Training
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The model was trained with the parameters:
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 1 with parameters:
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```
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{'batch_size': 5, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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`sentence_transformers.losses.CosineSimilarityLoss.CosineSimilarityLoss`
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Parameters of the fit()-Method:
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```
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{
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"epochs": 2,
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"evaluation_steps": 1000,
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"evaluator": "NoneType",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"lr": 2e-05
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 100,
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"weight_decay": 0.01
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}
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```
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## Full Model Architecture
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```
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SentenceTransformer(
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(0): Transformer({'max_seq_length': 384, 'do_lower_case': False}) with Transformer model: MPNetModel
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(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
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(2): Normalize()
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)
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```
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## Citing & Authors
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<!--- Describe where people can find more information -->
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both_models/sentence_transformer_model/config.json
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{
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"_name_or_path": "/Users/bharathkumarnune/.cache/torch/sentence_transformers/sentence-transformers_all-mpnet-base-v2/",
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"architectures": [
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"MPNetModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "mpnet",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"vocab_size": 30527
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}
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both_models/sentence_transformer_model/config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.0.0",
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"transformers": "4.6.1",
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"pytorch": "1.8.1"
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}
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}
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both_models/sentence_transformer_model/modules.json
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[
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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version https://git-lfs.github.com/spec/v1
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oid sha256:cbdfdb6b06b9409c75d6c4ec7e4215de2ce5845fbb287dd31a3deb6525fead07
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size 438013677
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both_models/sentence_transformer_model/sentence_bert_config.json
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{
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"max_seq_length": 384,
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"do_lower_case": false
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}
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both_models/sentence_transformer_model/special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "[UNK]"
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}
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both_models/sentence_transformer_model/tokenizer_config.json
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{
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"do_lower_case": true,
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "MPNetTokenizer",
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"unk_token": "[UNK]"
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}
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include meta.json
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include LICENSE
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include LICENSES_SOURCES
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include README.md
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both_models/spacy_ner_model/README.md
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_pipeline` |
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| **Version** | `0.0.0` |
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| **spaCy** | `>=3.6.0,<3.7.0` |
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| **Default Pipeline** | `tok2vec`, `entity_ruler`, `ner` |
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| **Components** | `tok2vec`, `entity_ruler`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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### Label Scheme
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<details>
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<summary>View label scheme (6 labels for 2 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`entity_ruler`** | `STATE`, `STATE_CODE`, `ZIPCODE` |
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| **`ner`** | `CITY`, `STATE`, `VERTICAL` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 99.82 |
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| `ENTS_P` | 99.91 |
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| `ENTS_R` | 99.73 |
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| `TOK2VEC_LOSS` | 20878.29 |
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| `NER_LOSS` | 2762.75 |
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both_models/spacy_ner_model/dist/en_pipeline-0.0.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:0dfaec38f86eb3dde591a9f24b6e3e86ced7f028de992d82fe644d7bfaf04c70
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size 5672848
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both_models/spacy_ner_model/en_pipeline.egg-info/PKG-INFO
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+
Metadata-Version: 2.1
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2 |
+
Name: en-pipeline
|
3 |
+
Version: 0.0.0
|
4 |
+
Home-page:
|
5 |
+
Author:
|
6 |
+
Author-email:
|
7 |
+
|
8 |
+
| Feature | Description |
|
9 |
+
| --- | --- |
|
10 |
+
| **Name** | `en_pipeline` |
|
11 |
+
| **Version** | `0.0.0` |
|
12 |
+
| **spaCy** | `>=3.6.0,<3.7.0` |
|
13 |
+
| **Default Pipeline** | `tok2vec`, `entity_ruler`, `ner` |
|
14 |
+
| **Components** | `tok2vec`, `entity_ruler`, `ner` |
|
15 |
+
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
16 |
+
| **Sources** | n/a |
|
17 |
+
| **License** | n/a |
|
18 |
+
| **Author** | [n/a]() |
|
19 |
+
|
20 |
+
### Label Scheme
|
21 |
+
|
22 |
+
<details>
|
23 |
+
|
24 |
+
<summary>View label scheme (6 labels for 2 components)</summary>
|
25 |
+
|
26 |
+
| Component | Labels |
|
27 |
+
| --- | --- |
|
28 |
+
| **`entity_ruler`** | `STATE`, `STATE_CODE`, `ZIPCODE` |
|
29 |
+
| **`ner`** | `CITY`, `STATE`, `VERTICAL` |
|
30 |
+
|
31 |
+
</details>
|
32 |
+
|
33 |
+
### Accuracy
|
34 |
+
|
35 |
+
| Type | Score |
|
36 |
+
| --- | --- |
|
37 |
+
| `ENTS_F` | 99.82 |
|
38 |
+
| `ENTS_P` | 99.91 |
|
39 |
+
| `ENTS_R` | 99.73 |
|
40 |
+
| `TOK2VEC_LOSS` | 20878.29 |
|
41 |
+
| `NER_LOSS` | 2762.75 |
|
both_models/spacy_ner_model/en_pipeline.egg-info/SOURCES.txt
ADDED
@@ -0,0 +1,29 @@
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1 |
+
MANIFEST.in
|
2 |
+
README.md
|
3 |
+
meta.json
|
4 |
+
setup.py
|
5 |
+
en_pipeline/__init__.py
|
6 |
+
en_pipeline/meta.json
|
7 |
+
en_pipeline.egg-info/PKG-INFO
|
8 |
+
en_pipeline.egg-info/SOURCES.txt
|
9 |
+
en_pipeline.egg-info/dependency_links.txt
|
10 |
+
en_pipeline.egg-info/entry_points.txt
|
11 |
+
en_pipeline.egg-info/not-zip-safe
|
12 |
+
en_pipeline.egg-info/requires.txt
|
13 |
+
en_pipeline.egg-info/top_level.txt
|
14 |
+
en_pipeline/en_pipeline-0.0.0/README.md
|
15 |
+
en_pipeline/en_pipeline-0.0.0/config.cfg
|
16 |
+
en_pipeline/en_pipeline-0.0.0/meta.json
|
17 |
+
en_pipeline/en_pipeline-0.0.0/tokenizer
|
18 |
+
en_pipeline/en_pipeline-0.0.0/entity_ruler/cfg
|
19 |
+
en_pipeline/en_pipeline-0.0.0/entity_ruler/patterns.jsonl
|
20 |
+
en_pipeline/en_pipeline-0.0.0/ner/cfg
|
21 |
+
en_pipeline/en_pipeline-0.0.0/ner/model
|
22 |
+
en_pipeline/en_pipeline-0.0.0/ner/moves
|
23 |
+
en_pipeline/en_pipeline-0.0.0/tok2vec/cfg
|
24 |
+
en_pipeline/en_pipeline-0.0.0/tok2vec/model
|
25 |
+
en_pipeline/en_pipeline-0.0.0/vocab/key2row
|
26 |
+
en_pipeline/en_pipeline-0.0.0/vocab/lookups.bin
|
27 |
+
en_pipeline/en_pipeline-0.0.0/vocab/strings.json
|
28 |
+
en_pipeline/en_pipeline-0.0.0/vocab/vectors
|
29 |
+
en_pipeline/en_pipeline-0.0.0/vocab/vectors.cfg
|
both_models/spacy_ner_model/en_pipeline.egg-info/dependency_links.txt
ADDED
@@ -0,0 +1 @@
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|
1 |
+
|
both_models/spacy_ner_model/en_pipeline.egg-info/entry_points.txt
ADDED
@@ -0,0 +1,2 @@
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|
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|
1 |
+
[spacy_models]
|
2 |
+
en_pipeline = en_pipeline
|
both_models/spacy_ner_model/en_pipeline.egg-info/not-zip-safe
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
|
both_models/spacy_ner_model/en_pipeline.egg-info/requires.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
spacy<3.7.0,>=3.6.0
|
both_models/spacy_ner_model/en_pipeline.egg-info/top_level.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
en_pipeline
|
both_models/spacy_ner_model/en_pipeline/__init__.py
ADDED
@@ -0,0 +1,10 @@
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|
1 |
+
from pathlib import Path
|
2 |
+
from spacy.util import load_model_from_init_py, get_model_meta
|
3 |
+
|
4 |
+
|
5 |
+
|
6 |
+
__version__ = get_model_meta(Path(__file__).parent)['version']
|
7 |
+
|
8 |
+
|
9 |
+
def load(**overrides):
|
10 |
+
return load_model_from_init_py(__file__, **overrides)
|
both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/README.md
ADDED
@@ -0,0 +1,34 @@
|
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|
|
|
|
1 |
+
| Feature | Description |
|
2 |
+
| --- | --- |
|
3 |
+
| **Name** | `en_pipeline` |
|
4 |
+
| **Version** | `0.0.0` |
|
5 |
+
| **spaCy** | `>=3.6.0,<3.7.0` |
|
6 |
+
| **Default Pipeline** | `tok2vec`, `entity_ruler`, `ner` |
|
7 |
+
| **Components** | `tok2vec`, `entity_ruler`, `ner` |
|
8 |
+
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
9 |
+
| **Sources** | n/a |
|
10 |
+
| **License** | n/a |
|
11 |
+
| **Author** | [n/a]() |
|
12 |
+
|
13 |
+
### Label Scheme
|
14 |
+
|
15 |
+
<details>
|
16 |
+
|
17 |
+
<summary>View label scheme (6 labels for 2 components)</summary>
|
18 |
+
|
19 |
+
| Component | Labels |
|
20 |
+
| --- | --- |
|
21 |
+
| **`entity_ruler`** | `STATE`, `STATE_CODE`, `ZIPCODE` |
|
22 |
+
| **`ner`** | `CITY`, `STATE`, `VERTICAL` |
|
23 |
+
|
24 |
+
</details>
|
25 |
+
|
26 |
+
### Accuracy
|
27 |
+
|
28 |
+
| Type | Score |
|
29 |
+
| --- | --- |
|
30 |
+
| `ENTS_F` | 99.82 |
|
31 |
+
| `ENTS_P` | 99.91 |
|
32 |
+
| `ENTS_R` | 99.73 |
|
33 |
+
| `TOK2VEC_LOSS` | 20878.29 |
|
34 |
+
| `NER_LOSS` | 2762.75 |
|
both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/config.cfg
ADDED
@@ -0,0 +1,153 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[paths]
|
2 |
+
train = "./train.spacy"
|
3 |
+
dev = "./test.spacy"
|
4 |
+
vectors = null
|
5 |
+
init_tok2vec = null
|
6 |
+
|
7 |
+
[system]
|
8 |
+
gpu_allocator = null
|
9 |
+
seed = 0
|
10 |
+
|
11 |
+
[nlp]
|
12 |
+
lang = "en"
|
13 |
+
pipeline = ["tok2vec","entity_ruler","ner"]
|
14 |
+
batch_size = 1000
|
15 |
+
disabled = []
|
16 |
+
before_creation = null
|
17 |
+
after_creation = null
|
18 |
+
after_pipeline_creation = null
|
19 |
+
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
20 |
+
|
21 |
+
[components]
|
22 |
+
|
23 |
+
[components.entity_ruler]
|
24 |
+
factory = "entity_ruler"
|
25 |
+
ent_id_sep = "||"
|
26 |
+
matcher_fuzzy_compare = {"@misc":"spacy.levenshtein_compare.v1"}
|
27 |
+
overwrite_ents = false
|
28 |
+
phrase_matcher_attr = null
|
29 |
+
scorer = {"@scorers":"spacy.entity_ruler_scorer.v1"}
|
30 |
+
validate = false
|
31 |
+
|
32 |
+
[components.ner]
|
33 |
+
factory = "ner"
|
34 |
+
incorrect_spans_key = null
|
35 |
+
moves = null
|
36 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
37 |
+
update_with_oracle_cut_size = 100
|
38 |
+
|
39 |
+
[components.ner.model]
|
40 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
41 |
+
state_type = "ner"
|
42 |
+
extra_state_tokens = false
|
43 |
+
hidden_width = 64
|
44 |
+
maxout_pieces = 2
|
45 |
+
use_upper = true
|
46 |
+
nO = null
|
47 |
+
|
48 |
+
[components.ner.model.tok2vec]
|
49 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
50 |
+
width = ${components.tok2vec.model.encode.width}
|
51 |
+
upstream = "*"
|
52 |
+
|
53 |
+
[components.tok2vec]
|
54 |
+
factory = "tok2vec"
|
55 |
+
|
56 |
+
[components.tok2vec.model]
|
57 |
+
@architectures = "spacy.Tok2Vec.v2"
|
58 |
+
|
59 |
+
[components.tok2vec.model.embed]
|
60 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
61 |
+
width = ${components.tok2vec.model.encode.width}
|
62 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
63 |
+
rows = [5000,1000,2500,2500]
|
64 |
+
include_static_vectors = false
|
65 |
+
|
66 |
+
[components.tok2vec.model.encode]
|
67 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
68 |
+
width = 96
|
69 |
+
depth = 4
|
70 |
+
window_size = 1
|
71 |
+
maxout_pieces = 3
|
72 |
+
|
73 |
+
[corpora]
|
74 |
+
|
75 |
+
[corpora.dev]
|
76 |
+
@readers = "spacy.Corpus.v1"
|
77 |
+
path = ${paths.dev}
|
78 |
+
max_length = 0
|
79 |
+
gold_preproc = false
|
80 |
+
limit = 0
|
81 |
+
augmenter = null
|
82 |
+
|
83 |
+
[corpora.train]
|
84 |
+
@readers = "spacy.Corpus.v1"
|
85 |
+
path = ${paths.train}
|
86 |
+
max_length = 0
|
87 |
+
gold_preproc = false
|
88 |
+
limit = 0
|
89 |
+
augmenter = null
|
90 |
+
|
91 |
+
[training]
|
92 |
+
dev_corpus = "corpora.dev"
|
93 |
+
train_corpus = "corpora.train"
|
94 |
+
seed = ${system.seed}
|
95 |
+
gpu_allocator = ${system.gpu_allocator}
|
96 |
+
dropout = 0.1
|
97 |
+
accumulate_gradient = 1
|
98 |
+
patience = 1600
|
99 |
+
max_epochs = 0
|
100 |
+
max_steps = 20000
|
101 |
+
eval_frequency = 200
|
102 |
+
frozen_components = []
|
103 |
+
annotating_components = []
|
104 |
+
before_to_disk = null
|
105 |
+
before_update = null
|
106 |
+
|
107 |
+
[training.batcher]
|
108 |
+
@batchers = "spacy.batch_by_words.v1"
|
109 |
+
discard_oversize = false
|
110 |
+
tolerance = 0.2
|
111 |
+
get_length = null
|
112 |
+
|
113 |
+
[training.batcher.size]
|
114 |
+
@schedules = "compounding.v1"
|
115 |
+
start = 100
|
116 |
+
stop = 1000
|
117 |
+
compound = 1.001
|
118 |
+
t = 0.0
|
119 |
+
|
120 |
+
[training.logger]
|
121 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
122 |
+
progress_bar = false
|
123 |
+
|
124 |
+
[training.optimizer]
|
125 |
+
@optimizers = "Adam.v1"
|
126 |
+
beta1 = 0.9
|
127 |
+
beta2 = 0.999
|
128 |
+
L2_is_weight_decay = true
|
129 |
+
L2 = 0.01
|
130 |
+
grad_clip = 1.0
|
131 |
+
use_averages = false
|
132 |
+
eps = 0.00000001
|
133 |
+
learn_rate = 0.001
|
134 |
+
|
135 |
+
[training.score_weights]
|
136 |
+
ents_f = 1.0
|
137 |
+
ents_p = 0.0
|
138 |
+
ents_r = 0.0
|
139 |
+
ents_per_type = null
|
140 |
+
|
141 |
+
[pretraining]
|
142 |
+
|
143 |
+
[initialize]
|
144 |
+
vectors = ${paths.vectors}
|
145 |
+
init_tok2vec = ${paths.init_tok2vec}
|
146 |
+
vocab_data = null
|
147 |
+
lookups = null
|
148 |
+
before_init = null
|
149 |
+
after_init = null
|
150 |
+
|
151 |
+
[initialize.components]
|
152 |
+
|
153 |
+
[initialize.tokenizer]
|
both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/entity_ruler/cfg
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"overwrite":false,
|
3 |
+
"phrase_matcher_attr":null,
|
4 |
+
"ent_id_sep":"||"
|
5 |
+
}
|
both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/entity_ruler/patterns.jsonl
ADDED
@@ -0,0 +1,101 @@
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|
1 |
+
{"label":"ZIPCODE","pattern":[{"TEXT":{"REGEX":"\\b\\d{5}\\b"}}]}
|
2 |
+
{"label":"STATE","pattern":"alabama"}
|
3 |
+
{"label":"STATE","pattern":"alaska"}
|
4 |
+
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|
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|
both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/meta.json
ADDED
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|
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{
|
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|
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|
20 |
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|
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|
23 |
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"STATE",
|
24 |
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"STATE_CODE",
|
25 |
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"ZIPCODE"
|
26 |
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|
27 |
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"ner":[
|
28 |
+
"CITY",
|
29 |
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"STATE",
|
30 |
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"VERTICAL"
|
31 |
+
]
|
32 |
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},
|
33 |
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"pipeline":[
|
34 |
+
"tok2vec",
|
35 |
+
"entity_ruler",
|
36 |
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"ner"
|
37 |
+
],
|
38 |
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"components":[
|
39 |
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|
40 |
+
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|
41 |
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|
42 |
+
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|
43 |
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|
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|
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|
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|
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|
both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/ner/cfg
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|
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both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/ner/moves
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|
1 |
+
[
|
2 |
+
"\t",
|
3 |
+
"\n",
|
4 |
+
" ",
|
5 |
+
" ",
|
6 |
+
"\"",
|
7 |
+
"'",
|
8 |
+
"''",
|
9 |
+
"'-(",
|
10 |
+
"'-)",
|
11 |
+
"'Cause",
|
12 |
+
"'Cos",
|
13 |
+
"'Coz",
|
14 |
+
"'Cuz",
|
15 |
+
"'S",
|
16 |
+
"'X",
|
17 |
+
"'Xxx",
|
18 |
+
"'Xxxxx",
|
19 |
+
"'am",
|
20 |
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"'bout",
|
21 |
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"'cause",
|
22 |
+
"'cos",
|
23 |
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"'coz",
|
24 |
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"'cuz",
|
25 |
+
"'d",
|
26 |
+
"'em",
|
27 |
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"'ll",
|
28 |
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"'m",
|
29 |
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"'nuff",
|
30 |
+
"'re",
|
31 |
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"'s",
|
32 |
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"'ve",
|
33 |
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"'x",
|
34 |
+
"'xx",
|
35 |
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"'xxx",
|
36 |
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"'xxxx",
|
37 |
+
"'y",
|
38 |
+
"(",
|
39 |
+
"(((",
|
40 |
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"(*>",
|
41 |
+
"(*_*)",
|
42 |
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"(-8",
|
43 |
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"(-:",
|
44 |
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"(-;",
|
45 |
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"(-_-)",
|
46 |
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"(-d",
|
47 |
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"(._.)",
|
48 |
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"(:",
|
49 |
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"(;",
|
50 |
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"(=",
|
51 |
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"(>_<)",
|
52 |
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"(^_^)",
|
53 |
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"(o:",
|
54 |
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"(x:",
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55 |
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"(x_x)",
|
56 |
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59 |
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")",
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")))",
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61 |
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")-:",
|
62 |
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")/\u00af",
|
63 |
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"):",
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64 |
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"*",
|
65 |
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",",
|
66 |
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"-",
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67 |
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"-((",
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68 |
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"-))",
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69 |
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"-/",
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"-0",
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72 |
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81 |
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"-|",
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".C.",
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86 |
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".D.",
|
87 |
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".E.",
|
88 |
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".G.",
|
89 |
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".H.",
|
90 |
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".J.",
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91 |
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".M.",
|
92 |
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".Y.",
|
93 |
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"._.",
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94 |
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".e.",
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95 |
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".g.",
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".m.",
|
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".s.",
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98 |
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99 |
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"/3",
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100 |
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|
101 |
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|
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111 |
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|
112 |
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|
113 |
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114 |
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|
115 |
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":0",
|
213 |
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":1",
|
214 |
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":3",
|
215 |
+
":>",
|
216 |
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":D",
|
217 |
+
":O",
|
218 |
+
":P",
|
219 |
+
":X",
|
220 |
+
":]",
|
221 |
+
":d",
|
222 |
+
":o",
|
223 |
+
":o)",
|
224 |
+
":p",
|
225 |
+
":x",
|
226 |
+
":x)",
|
227 |
+
":|",
|
228 |
+
":}",
|
229 |
+
":\u2019(",
|
230 |
+
":\u2019)",
|
231 |
+
":\u2019-(",
|
232 |
+
":\u2019-)",
|
233 |
+
";",
|
234 |
+
";)",
|
235 |
+
";-)",
|
236 |
+
";-D",
|
237 |
+
";-X",
|
238 |
+
";-d",
|
239 |
+
";D",
|
240 |
+
";X",
|
241 |
+
";_;",
|
242 |
+
";d",
|
243 |
+
"<",
|
244 |
+
"<.<",
|
245 |
+
"</3",
|
246 |
+
"</d",
|
247 |
+
"<3",
|
248 |
+
"<33",
|
249 |
+
"<333",
|
250 |
+
"<d",
|
251 |
+
"<dd",
|
252 |
+
"<ddd",
|
253 |
+
"<space>",
|
254 |
+
"<xxxx>",
|
255 |
+
"=",
|
256 |
+
"=(",
|
257 |
+
"=)",
|
258 |
+
"=/",
|
259 |
+
"=3",
|
260 |
+
"=D",
|
261 |
+
"=X",
|
262 |
+
"=[",
|
263 |
+
"=]",
|
264 |
+
"=d",
|
265 |
+
"=|",
|
266 |
+
">",
|
267 |
+
">.<",
|
268 |
+
">.>",
|
269 |
+
">:(",
|
270 |
+
">:o",
|
271 |
+
">:x",
|
272 |
+
"><(((*>",
|
273 |
+
"?",
|
274 |
+
"@",
|
275 |
+
"@_@",
|
276 |
+
"A",
|
277 |
+
"AAP",
|
278 |
+
"AK",
|
279 |
+
"AL",
|
280 |
+
"AR",
|
281 |
+
"ATE",
|
282 |
+
"AZ",
|
283 |
+
"Adm",
|
284 |
+
"Adm.",
|
285 |
+
"Ai",
|
286 |
+
"Ak",
|
287 |
+
"Ak.",
|
288 |
+
"Akron",
|
289 |
+
"Ala",
|
290 |
+
"Ala.",
|
291 |
+
"Alabama",
|
292 |
+
"Alaska",
|
293 |
+
"Albuquerque",
|
294 |
+
"Amarillo",
|
295 |
+
"An",
|
296 |
+
"Ana",
|
297 |
+
"Anaheim",
|
298 |
+
"Anchorage",
|
299 |
+
"Angeles",
|
300 |
+
"Antonio",
|
301 |
+
"Apr",
|
302 |
+
"Apr.",
|
303 |
+
"April",
|
304 |
+
"Are",
|
305 |
+
"Ariz",
|
306 |
+
"Ariz.",
|
307 |
+
"Arizona",
|
308 |
+
"Ark",
|
309 |
+
"Ark.",
|
310 |
+
"Arkansas",
|
311 |
+
"Arlington",
|
312 |
+
"Assets",
|
313 |
+
"Atlanta",
|
314 |
+
"Attend",
|
315 |
+
"Aug",
|
316 |
+
"Aug.",
|
317 |
+
"August",
|
318 |
+
"Aurora",
|
319 |
+
"Austin",
|
320 |
+
"B",
|
321 |
+
"Bakersfield",
|
322 |
+
"Baltimore",
|
323 |
+
"Baton",
|
324 |
+
"Beach",
|
325 |
+
"Bernardino",
|
326 |
+
"Birmingham",
|
327 |
+
"Boise",
|
328 |
+
"Boost",
|
329 |
+
"Boston",
|
330 |
+
"Bros",
|
331 |
+
"Bros.",
|
332 |
+
"Buffalo",
|
333 |
+
"Build",
|
334 |
+
"C",
|
335 |
+
"C'm",
|
336 |
+
"C++",
|
337 |
+
"C.",
|
338 |
+
"CAL",
|
339 |
+
"CITY",
|
340 |
+
"CO",
|
341 |
+
"CT",
|
342 |
+
"Ca",
|
343 |
+
"Calif",
|
344 |
+
"Calif.",
|
345 |
+
"California",
|
346 |
+
"Can",
|
347 |
+
"Cause",
|
348 |
+
"Chandler",
|
349 |
+
"Charlotte",
|
350 |
+
"Chesapeake",
|
351 |
+
"Chicago",
|
352 |
+
"Choose",
|
353 |
+
"Christi",
|
354 |
+
"Chula",
|
355 |
+
"Cincinnati",
|
356 |
+
"City",
|
357 |
+
"Cleveland",
|
358 |
+
"Co",
|
359 |
+
"Co.",
|
360 |
+
"Colo",
|
361 |
+
"Colo.",
|
362 |
+
"Colorado",
|
363 |
+
"Columbus",
|
364 |
+
"Conn",
|
365 |
+
"Conn.",
|
366 |
+
"Connect",
|
367 |
+
"Connecticut",
|
368 |
+
"Consult",
|
369 |
+
"Contact",
|
370 |
+
"Control",
|
371 |
+
"Corp",
|
372 |
+
"Corp.",
|
373 |
+
"Corpus",
|
374 |
+
"Cos",
|
375 |
+
"Could",
|
376 |
+
"Coz",
|
377 |
+
"Create",
|
378 |
+
"Curious",
|
379 |
+
"Cut",
|
380 |
+
"Cuz",
|
381 |
+
"C\u2019m",
|
382 |
+
"D",
|
383 |
+
"D.",
|
384 |
+
"D.C.",
|
385 |
+
"DE",
|
386 |
+
"Dallas",
|
387 |
+
"Dare",
|
388 |
+
"Debtor",
|
389 |
+
"Dec",
|
390 |
+
"Dec.",
|
391 |
+
"December",
|
392 |
+
"Del",
|
393 |
+
"Del.",
|
394 |
+
"Delaware",
|
395 |
+
"Denver",
|
396 |
+
"Des",
|
397 |
+
"Detroit",
|
398 |
+
"Did",
|
399 |
+
"Diego",
|
400 |
+
"Discover",
|
401 |
+
"Do",
|
402 |
+
"Does",
|
403 |
+
"Doin",
|
404 |
+
"Doin'",
|
405 |
+
"Doin\u2019",
|
406 |
+
"Dr",
|
407 |
+
"Dr.",
|
408 |
+
"Durham",
|
409 |
+
"E",
|
410 |
+
"E.G.",
|
411 |
+
"E.g",
|
412 |
+
"E.g.",
|
413 |
+
"Effective",
|
414 |
+
"Efficient",
|
415 |
+
"El",
|
416 |
+
"Enhance",
|
417 |
+
"Ensure",
|
418 |
+
"Experience",
|
419 |
+
"Expert",
|
420 |
+
"Explore",
|
421 |
+
"F",
|
422 |
+
"F.",
|
423 |
+
"FL",
|
424 |
+
"Feb",
|
425 |
+
"Feb.",
|
426 |
+
"February",
|
427 |
+
"Find",
|
428 |
+
"Finding",
|
429 |
+
"Fla",
|
430 |
+
"Fla.",
|
431 |
+
"Florida",
|
432 |
+
"Fontana",
|
433 |
+
"Fort",
|
434 |
+
"Francisco",
|
435 |
+
"Fremont",
|
436 |
+
"Fresno",
|
437 |
+
"G",
|
438 |
+
"GA",
|
439 |
+
"GAAP",
|
440 |
+
"Ga",
|
441 |
+
"Ga.",
|
442 |
+
"Garland",
|
443 |
+
"Gen",
|
444 |
+
"Gen.",
|
445 |
+
"Georgia",
|
446 |
+
"Get",
|
447 |
+
"Getting",
|
448 |
+
"Gilbert",
|
449 |
+
"Glendale",
|
450 |
+
"Goin",
|
451 |
+
"Goin'",
|
452 |
+
"Goin\u2019",
|
453 |
+
"Gon",
|
454 |
+
"Got",
|
455 |
+
"Gov",
|
456 |
+
"Gov.",
|
457 |
+
"Grand",
|
458 |
+
"Greensboro",
|
459 |
+
"H",
|
460 |
+
"HI",
|
461 |
+
"Had",
|
462 |
+
"Has",
|
463 |
+
"Have",
|
464 |
+
"Havin",
|
465 |
+
"Havin'",
|
466 |
+
"Havin\u2019",
|
467 |
+
"He",
|
468 |
+
"He's",
|
469 |
+
"Henderson",
|
470 |
+
"He\u2019s",
|
471 |
+
"Hialeah",
|
472 |
+
"Hire",
|
473 |
+
"Honolulu",
|
474 |
+
"Houston",
|
475 |
+
"How",
|
476 |
+
"How's",
|
477 |
+
"How\u2019s",
|
478 |
+
"Huntington",
|
479 |
+
"I",
|
480 |
+
"I.E.",
|
481 |
+
"I.e",
|
482 |
+
"I.e.",
|
483 |
+
"IA",
|
484 |
+
"IL",
|
485 |
+
"IN",
|
486 |
+
"ITY",
|
487 |
+
"Ia",
|
488 |
+
"Ia.",
|
489 |
+
"Id",
|
490 |
+
"Id.",
|
491 |
+
"Idaho",
|
492 |
+
"Ill",
|
493 |
+
"Ill.",
|
494 |
+
"Illinois",
|
495 |
+
"Improve",
|
496 |
+
"In",
|
497 |
+
"Inc",
|
498 |
+
"Inc.",
|
499 |
+
"Ind",
|
500 |
+
"Ind.",
|
501 |
+
"Indiana",
|
502 |
+
"Indianapolis",
|
503 |
+
"Iowa",
|
504 |
+
"Irvine",
|
505 |
+
"Irving",
|
506 |
+
"Is",
|
507 |
+
"It",
|
508 |
+
"It's",
|
509 |
+
"It\u2019s",
|
510 |
+
"J",
|
511 |
+
"Jacksonville",
|
512 |
+
"Jan",
|
513 |
+
"Jan.",
|
514 |
+
"January",
|
515 |
+
"Jersey",
|
516 |
+
"Join",
|
517 |
+
"Jose",
|
518 |
+
"Jr",
|
519 |
+
"Jr.",
|
520 |
+
"Jul",
|
521 |
+
"Jul.",
|
522 |
+
"July",
|
523 |
+
"Jun",
|
524 |
+
"Jun.",
|
525 |
+
"June",
|
526 |
+
"K",
|
527 |
+
"K.",
|
528 |
+
"KS",
|
529 |
+
"KY",
|
530 |
+
"Kan",
|
531 |
+
"Kan.",
|
532 |
+
"Kans",
|
533 |
+
"Kans.",
|
534 |
+
"Kansas",
|
535 |
+
"Keep",
|
536 |
+
"Kentucky",
|
537 |
+
"Ky",
|
538 |
+
"Ky.",
|
539 |
+
"L",
|
540 |
+
"LA",
|
541 |
+
"La",
|
542 |
+
"La.",
|
543 |
+
"Laredo",
|
544 |
+
"Las",
|
545 |
+
"Learn",
|
546 |
+
"Ledger",
|
547 |
+
"Let",
|
548 |
+
"Let's",
|
549 |
+
"Let\u2019s",
|
550 |
+
"Lexington",
|
551 |
+
"Lincoln",
|
552 |
+
"Long",
|
553 |
+
"Looking",
|
554 |
+
"Los",
|
555 |
+
"Louis",
|
556 |
+
"Louisiana",
|
557 |
+
"Louisville",
|
558 |
+
"Lovin",
|
559 |
+
"Lovin'",
|
560 |
+
"Lovin\u2019",
|
561 |
+
"Ltd",
|
562 |
+
"Ltd.",
|
563 |
+
"Lubbock",
|
564 |
+
"M",
|
565 |
+
"MA",
|
566 |
+
"MD",
|
567 |
+
"ME",
|
568 |
+
"MI",
|
569 |
+
"MN",
|
570 |
+
"MO",
|
571 |
+
"MS",
|
572 |
+
"MT",
|
573 |
+
"Ma'am",
|
574 |
+
"Madison",
|
575 |
+
"Maintain",
|
576 |
+
"Make",
|
577 |
+
"Manage",
|
578 |
+
"Mar",
|
579 |
+
"Mar.",
|
580 |
+
"March",
|
581 |
+
"Mass",
|
582 |
+
"Mass.",
|
583 |
+
"Massachusetts",
|
584 |
+
"May",
|
585 |
+
"Ma\u2019am",
|
586 |
+
"Md",
|
587 |
+
"Md.",
|
588 |
+
"Memphis",
|
589 |
+
"Mesa",
|
590 |
+
"Messrs",
|
591 |
+
"Messrs.",
|
592 |
+
"Miami",
|
593 |
+
"Mich",
|
594 |
+
"Mich.",
|
595 |
+
"Michigan",
|
596 |
+
"Might",
|
597 |
+
"Milwaukee",
|
598 |
+
"Minimize",
|
599 |
+
"Minn",
|
600 |
+
"Minn.",
|
601 |
+
"Minneapolis",
|
602 |
+
"Minnesota",
|
603 |
+
"Miss",
|
604 |
+
"Miss.",
|
605 |
+
"Mississippi",
|
606 |
+
"Mitigate",
|
607 |
+
"Mo",
|
608 |
+
"Mo.",
|
609 |
+
"Modesto",
|
610 |
+
"Moines",
|
611 |
+
"Mont",
|
612 |
+
"Mont.",
|
613 |
+
"Mount",
|
614 |
+
"Mr",
|
615 |
+
"Mr.",
|
616 |
+
"Mrs",
|
617 |
+
"Mrs.",
|
618 |
+
"Ms",
|
619 |
+
"Ms.",
|
620 |
+
"Mt",
|
621 |
+
"Mt.",
|
622 |
+
"Must",
|
623 |
+
"N",
|
624 |
+
"N.C.",
|
625 |
+
"N.D.",
|
626 |
+
"N.H.",
|
627 |
+
"N.J.",
|
628 |
+
"N.M.",
|
629 |
+
"N.Y.",
|
630 |
+
"NC",
|
631 |
+
"ND",
|
632 |
+
"NE",
|
633 |
+
"NH",
|
634 |
+
"NJ",
|
635 |
+
"NM",
|
636 |
+
"NV",
|
637 |
+
"NY",
|
638 |
+
"Nashville",
|
639 |
+
"Neb",
|
640 |
+
"Neb.",
|
641 |
+
"Nebr",
|
642 |
+
"Nebr.",
|
643 |
+
"Nebraska",
|
644 |
+
"Need",
|
645 |
+
"Nev",
|
646 |
+
"Nev.",
|
647 |
+
"Nevada",
|
648 |
+
"New",
|
649 |
+
"New Hampshire",
|
650 |
+
"New Jersey",
|
651 |
+
"New Mexico",
|
652 |
+
"New York",
|
653 |
+
"Newark",
|
654 |
+
"Norfolk",
|
655 |
+
"North",
|
656 |
+
"North Carolina",
|
657 |
+
"North Dakota",
|
658 |
+
"Not",
|
659 |
+
"Nothin",
|
660 |
+
"Nothin'",
|
661 |
+
"Nothin\u2019",
|
662 |
+
"Nov",
|
663 |
+
"Nov.",
|
664 |
+
"November",
|
665 |
+
"Nuthin",
|
666 |
+
"Nuthin'",
|
667 |
+
"Nuthin\u2019",
|
668 |
+
"O",
|
669 |
+
"O'clock",
|
670 |
+
"O.O",
|
671 |
+
"O.o",
|
672 |
+
"ODE",
|
673 |
+
"OH",
|
674 |
+
"OK",
|
675 |
+
"OR",
|
676 |
+
"O_O",
|
677 |
+
"O_o",
|
678 |
+
"Oakland",
|
679 |
+
"Oct",
|
680 |
+
"Oct.",
|
681 |
+
"October",
|
682 |
+
"Okla",
|
683 |
+
"Okla.",
|
684 |
+
"Oklahoma",
|
685 |
+
"Ol",
|
686 |
+
"Ol'",
|
687 |
+
"Ol\u2019",
|
688 |
+
"Omaha",
|
689 |
+
"Opt",
|
690 |
+
"Ore",
|
691 |
+
"Ore.",
|
692 |
+
"Oregon",
|
693 |
+
"Orlando",
|
694 |
+
"Orleans",
|
695 |
+
"Ought",
|
696 |
+
"O\u2019clock",
|
697 |
+
"P",
|
698 |
+
"PA",
|
699 |
+
"Pa",
|
700 |
+
"Pa.",
|
701 |
+
"Paso",
|
702 |
+
"Pennsylvania",
|
703 |
+
"Petersburg",
|
704 |
+
"Ph",
|
705 |
+
"Ph.D.",
|
706 |
+
"Philadelphia",
|
707 |
+
"Phoenix",
|
708 |
+
"Pittsburgh",
|
709 |
+
"Plano",
|
710 |
+
"Portland",
|
711 |
+
"Preparing",
|
712 |
+
"Prof",
|
713 |
+
"Prof.",
|
714 |
+
"R",
|
715 |
+
"RI",
|
716 |
+
"ROOT",
|
717 |
+
"Raleigh",
|
718 |
+
"Rapids",
|
719 |
+
"Reach",
|
720 |
+
"Reconciliation",
|
721 |
+
"Reduce",
|
722 |
+
"Rely",
|
723 |
+
"Reno",
|
724 |
+
"Rep",
|
725 |
+
"Rep.",
|
726 |
+
"Rev",
|
727 |
+
"Rev.",
|
728 |
+
"Richmond",
|
729 |
+
"Riverside",
|
730 |
+
"Rouge",
|
731 |
+
"S",
|
732 |
+
"S.C.",
|
733 |
+
"SC",
|
734 |
+
"SD",
|
735 |
+
"STATE",
|
736 |
+
"STATE_CODE",
|
737 |
+
"Sacramento",
|
738 |
+
"Salem",
|
739 |
+
"San",
|
740 |
+
"Santa",
|
741 |
+
"Scottsdale",
|
742 |
+
"Searching",
|
743 |
+
"Seattle",
|
744 |
+
"Secure",
|
745 |
+
"Seek",
|
746 |
+
"Seeking",
|
747 |
+
"Selling",
|
748 |
+
"Sen",
|
749 |
+
"Sen.",
|
750 |
+
"Sep",
|
751 |
+
"Sep.",
|
752 |
+
"Sept",
|
753 |
+
"Sept.",
|
754 |
+
"September",
|
755 |
+
"Sha",
|
756 |
+
"She",
|
757 |
+
"She's",
|
758 |
+
"She\u2019s",
|
759 |
+
"Should",
|
760 |
+
"Shreveport",
|
761 |
+
"Somethin",
|
762 |
+
"Somethin'",
|
763 |
+
"Somethin\u2019",
|
764 |
+
"South Carolina",
|
765 |
+
"Spokane",
|
766 |
+
"Springs",
|
767 |
+
"St",
|
768 |
+
"St.",
|
769 |
+
"Staging",
|
770 |
+
"Stay",
|
771 |
+
"Stockton",
|
772 |
+
"Streamline",
|
773 |
+
"T",
|
774 |
+
"TN",
|
775 |
+
"TX",
|
776 |
+
"Tacoma",
|
777 |
+
"Take",
|
778 |
+
"Tallahassee",
|
779 |
+
"Tampa",
|
780 |
+
"Tenn",
|
781 |
+
"Tenn.",
|
782 |
+
"Tennessee",
|
783 |
+
"That",
|
784 |
+
"That's",
|
785 |
+
"That\u2019s",
|
786 |
+
"The",
|
787 |
+
"There",
|
788 |
+
"There's",
|
789 |
+
"There\u2019s",
|
790 |
+
"These",
|
791 |
+
"They",
|
792 |
+
"This",
|
793 |
+
"This's",
|
794 |
+
"This\u2019s",
|
795 |
+
"Those",
|
796 |
+
"Toledo",
|
797 |
+
"Top",
|
798 |
+
"Tucson",
|
799 |
+
"Tulsa",
|
800 |
+
"U",
|
801 |
+
"UT",
|
802 |
+
"Understand",
|
803 |
+
"Understanding",
|
804 |
+
"V",
|
805 |
+
"V.V",
|
806 |
+
"VA",
|
807 |
+
"VERTICAL",
|
808 |
+
"VT",
|
809 |
+
"V_V",
|
810 |
+
"Va",
|
811 |
+
"Va.",
|
812 |
+
"Vegas",
|
813 |
+
"Virginia",
|
814 |
+
"Vista",
|
815 |
+
"W",
|
816 |
+
"WA",
|
817 |
+
"WI",
|
818 |
+
"WV",
|
819 |
+
"WY",
|
820 |
+
"Was",
|
821 |
+
"Wash",
|
822 |
+
"Wash.",
|
823 |
+
"Washington",
|
824 |
+
"Wayne",
|
825 |
+
"We",
|
826 |
+
"Were",
|
827 |
+
"What",
|
828 |
+
"What's",
|
829 |
+
"What\u2019s",
|
830 |
+
"When",
|
831 |
+
"When's",
|
832 |
+
"When\u2019s",
|
833 |
+
"Where",
|
834 |
+
"Where's",
|
835 |
+
"Where\u2019s",
|
836 |
+
"Who",
|
837 |
+
"Who's",
|
838 |
+
"Who\u2019s",
|
839 |
+
"Why",
|
840 |
+
"Why's",
|
841 |
+
"Why\u2019s",
|
842 |
+
"Wichita",
|
843 |
+
"Winston",
|
844 |
+
"Wis",
|
845 |
+
"Wis.",
|
846 |
+
"Wisconsin",
|
847 |
+
"Wo",
|
848 |
+
"Working",
|
849 |
+
"Worth",
|
850 |
+
"Would",
|
851 |
+
"X'x",
|
852 |
+
"X'xxxx",
|
853 |
+
"X++",
|
854 |
+
"X.",
|
855 |
+
"X.X",
|
856 |
+
"X.X.",
|
857 |
+
"X.x",
|
858 |
+
"X.x.",
|
859 |
+
"XD",
|
860 |
+
"XDD",
|
861 |
+
"XX",
|
862 |
+
"XXX",
|
863 |
+
"XXXX",
|
864 |
+
"XXXX_XXXX",
|
865 |
+
"X_X",
|
866 |
+
"X_x",
|
867 |
+
"Xx",
|
868 |
+
"Xx'",
|
869 |
+
"Xx'x",
|
870 |
+
"Xx'xx",
|
871 |
+
"Xx.",
|
872 |
+
"Xx.X.",
|
873 |
+
"Xxx",
|
874 |
+
"Xxx'x",
|
875 |
+
"Xxx.",
|
876 |
+
"Xxxx",
|
877 |
+
"Xxxx'",
|
878 |
+
"Xxxx'x",
|
879 |
+
"Xxxx.",
|
880 |
+
"Xxxxx",
|
881 |
+
"Xxxxx'",
|
882 |
+
"Xxxxx'x",
|
883 |
+
"Xxxxx.",
|
884 |
+
"Xxxxx\u2019",
|
885 |
+
"Xxxxx\u2019x",
|
886 |
+
"Xxxx\u2019",
|
887 |
+
"Xxxx\u2019x",
|
888 |
+
"Xxx\u2019x",
|
889 |
+
"Xx\u2019",
|
890 |
+
"Xx\u2019x",
|
891 |
+
"Xx\u2019xx",
|
892 |
+
"X\u2019x",
|
893 |
+
"X\u2019xxxx",
|
894 |
+
"Y",
|
895 |
+
"Yonkers",
|
896 |
+
"York",
|
897 |
+
"You",
|
898 |
+
"ZIPCODE",
|
899 |
+
"[",
|
900 |
+
"[-:",
|
901 |
+
"[:",
|
902 |
+
"[=",
|
903 |
+
"\\",
|
904 |
+
"\\\")",
|
905 |
+
"\\n",
|
906 |
+
"\\t",
|
907 |
+
"\\x",
|
908 |
+
"]",
|
909 |
+
"]=",
|
910 |
+
"^",
|
911 |
+
"^_^",
|
912 |
+
"^__^",
|
913 |
+
"^___^",
|
914 |
+
"_*)",
|
915 |
+
"_-)",
|
916 |
+
"_.)",
|
917 |
+
"_<)",
|
918 |
+
"_^)",
|
919 |
+
"__-",
|
920 |
+
"__^",
|
921 |
+
"_\u00ac)",
|
922 |
+
"_\u0ca0)",
|
923 |
+
"a",
|
924 |
+
"a.",
|
925 |
+
"a.m",
|
926 |
+
"a.m.",
|
927 |
+
"aap",
|
928 |
+
"about",
|
929 |
+
"accountants",
|
930 |
+
"accounting",
|
931 |
+
"accounts",
|
932 |
+
"accrual",
|
933 |
+
"accurate",
|
934 |
+
"accurately",
|
935 |
+
"ace",
|
936 |
+
"ach",
|
937 |
+
"ack",
|
938 |
+
"act",
|
939 |
+
"actuaries",
|
940 |
+
"actuary",
|
941 |
+
"acumen",
|
942 |
+
"ada",
|
943 |
+
"adhering",
|
944 |
+
"adjustable",
|
945 |
+
"adm",
|
946 |
+
"adm.",
|
947 |
+
"ado",
|
948 |
+
"advice",
|
949 |
+
"advised",
|
950 |
+
"advisor",
|
951 |
+
"advisors",
|
952 |
+
"advisory",
|
953 |
+
"ady",
|
954 |
+
"afloat",
|
955 |
+
"aft",
|
956 |
+
"age",
|
957 |
+
"agencies",
|
958 |
+
"agency",
|
959 |
+
"agents",
|
960 |
+
"ago",
|
961 |
+
"agreement",
|
962 |
+
"aha",
|
963 |
+
"ahead",
|
964 |
+
"aho",
|
965 |
+
"ai",
|
966 |
+
"aid",
|
967 |
+
"aii",
|
968 |
+
"ail",
|
969 |
+
"aim",
|
970 |
+
"ain",
|
971 |
+
"ak",
|
972 |
+
"ak.",
|
973 |
+
"ake",
|
974 |
+
"akron",
|
975 |
+
"al",
|
976 |
+
"ala",
|
977 |
+
"ala.",
|
978 |
+
"alabama",
|
979 |
+
"alaska",
|
980 |
+
"albuquerque",
|
981 |
+
"ale",
|
982 |
+
"all",
|
983 |
+
"alo",
|
984 |
+
"als",
|
985 |
+
"am",
|
986 |
+
"ama",
|
987 |
+
"amarillo",
|
988 |
+
"ami",
|
989 |
+
"amount",
|
990 |
+
"ams",
|
991 |
+
"an",
|
992 |
+
"an.",
|
993 |
+
"ana",
|
994 |
+
"anaheim",
|
995 |
+
"analysis",
|
996 |
+
"anchorage",
|
997 |
+
"and",
|
998 |
+
"and/or",
|
999 |
+
"ane",
|
1000 |
+
"angeles",
|
1001 |
+
"annual",
|
1002 |
+
"annuity",
|
1003 |
+
"ano",
|
1004 |
+
"ans",
|
1005 |
+
"ant",
|
1006 |
+
"antonio",
|
1007 |
+
"any",
|
1008 |
+
"anyone",
|
1009 |
+
"appeal",
|
1010 |
+
"application",
|
1011 |
+
"apr",
|
1012 |
+
"apr.",
|
1013 |
+
"ar",
|
1014 |
+
"ar.",
|
1015 |
+
"ard",
|
1016 |
+
"are",
|
1017 |
+
"ariz",
|
1018 |
+
"ariz.",
|
1019 |
+
"arizona",
|
1020 |
+
"ark",
|
1021 |
+
"ark.",
|
1022 |
+
"arkansas",
|
1023 |
+
"arlington",
|
1024 |
+
"arn",
|
1025 |
+
"art",
|
1026 |
+
"ary",
|
1027 |
+
"ase",
|
1028 |
+
"ash",
|
1029 |
+
"aso",
|
1030 |
+
"asp",
|
1031 |
+
"ass",
|
1032 |
+
"assessment",
|
1033 |
+
"assets",
|
1034 |
+
"assist",
|
1035 |
+
"assistance",
|
1036 |
+
"ast",
|
1037 |
+
"asy",
|
1038 |
+
"at",
|
1039 |
+
"ata",
|
1040 |
+
"ate",
|
1041 |
+
"ati",
|
1042 |
+
"atlanta",
|
1043 |
+
"attend",
|
1044 |
+
"audit",
|
1045 |
+
"aug",
|
1046 |
+
"aug.",
|
1047 |
+
"aurora",
|
1048 |
+
"austin",
|
1049 |
+
"avail",
|
1050 |
+
"available",
|
1051 |
+
"ave",
|
1052 |
+
"average",
|
1053 |
+
"avoid",
|
1054 |
+
"ays",
|
1055 |
+
"az",
|
1056 |
+
"b",
|
1057 |
+
"b.",
|
1058 |
+
"back",
|
1059 |
+
"bakersfield",
|
1060 |
+
"balance",
|
1061 |
+
"baltimore",
|
1062 |
+
"base",
|
1063 |
+
"basics",
|
1064 |
+
"basis",
|
1065 |
+
"baton",
|
1066 |
+
"be",
|
1067 |
+
"beach",
|
1068 |
+
"because",
|
1069 |
+
"become",
|
1070 |
+
"before",
|
1071 |
+
"beneficiary",
|
1072 |
+
"benefit",
|
1073 |
+
"benefits",
|
1074 |
+
"bernardino",
|
1075 |
+
"best",
|
1076 |
+
"better",
|
1077 |
+
"birmingham",
|
1078 |
+
"ble",
|
1079 |
+
"bly",
|
1080 |
+
"boise",
|
1081 |
+
"books",
|
1082 |
+
"boost",
|
1083 |
+
"boston",
|
1084 |
+
"bout",
|
1085 |
+
"br.",
|
1086 |
+
"broker",
|
1087 |
+
"brokers",
|
1088 |
+
"bros",
|
1089 |
+
"bros.",
|
1090 |
+
"buffalo",
|
1091 |
+
"build",
|
1092 |
+
"building",
|
1093 |
+
"bus",
|
1094 |
+
"business",
|
1095 |
+
"businesses",
|
1096 |
+
"buyer",
|
1097 |
+
"buying",
|
1098 |
+
"by",
|
1099 |
+
"c",
|
1100 |
+
"c'm",
|
1101 |
+
"c++",
|
1102 |
+
"c.",
|
1103 |
+
"ca",
|
1104 |
+
"cal",
|
1105 |
+
"calculate",
|
1106 |
+
"calculating",
|
1107 |
+
"calculation",
|
1108 |
+
"calif",
|
1109 |
+
"calif.",
|
1110 |
+
"california",
|
1111 |
+
"can",
|
1112 |
+
"carolina",
|
1113 |
+
"case",
|
1114 |
+
"cash",
|
1115 |
+
"caters",
|
1116 |
+
"cause",
|
1117 |
+
"ce>",
|
1118 |
+
"ced",
|
1119 |
+
"ces",
|
1120 |
+
"ch.",
|
1121 |
+
"chandler",
|
1122 |
+
"charlotte",
|
1123 |
+
"chesapeake",
|
1124 |
+
"chicago",
|
1125 |
+
"choose",
|
1126 |
+
"choosing",
|
1127 |
+
"christi",
|
1128 |
+
"chula",
|
1129 |
+
"cincinnati",
|
1130 |
+
"city",
|
1131 |
+
"cky",
|
1132 |
+
"claim",
|
1133 |
+
"claims",
|
1134 |
+
"clarity",
|
1135 |
+
"clause",
|
1136 |
+
"clauses",
|
1137 |
+
"clean",
|
1138 |
+
"clearly",
|
1139 |
+
"cleveland",
|
1140 |
+
"closing",
|
1141 |
+
"co",
|
1142 |
+
"co.",
|
1143 |
+
"colo",
|
1144 |
+
"colo.",
|
1145 |
+
"colorado",
|
1146 |
+
"columbus",
|
1147 |
+
"come",
|
1148 |
+
"commission",
|
1149 |
+
"companies",
|
1150 |
+
"company",
|
1151 |
+
"compensation",
|
1152 |
+
"competitive",
|
1153 |
+
"complete",
|
1154 |
+
"complex",
|
1155 |
+
"compliance",
|
1156 |
+
"compliant",
|
1157 |
+
"component",
|
1158 |
+
"components",
|
1159 |
+
"comprehensive",
|
1160 |
+
"conn",
|
1161 |
+
"conn.",
|
1162 |
+
"connect",
|
1163 |
+
"connecticut",
|
1164 |
+
"consider",
|
1165 |
+
"considering",
|
1166 |
+
"consult",
|
1167 |
+
"consultancy",
|
1168 |
+
"consultants",
|
1169 |
+
"consultation",
|
1170 |
+
"consulting",
|
1171 |
+
"contact",
|
1172 |
+
"contract",
|
1173 |
+
"control",
|
1174 |
+
"corp",
|
1175 |
+
"corp.",
|
1176 |
+
"corpus",
|
1177 |
+
"correct",
|
1178 |
+
"cos",
|
1179 |
+
"costs",
|
1180 |
+
"could",
|
1181 |
+
"coverage",
|
1182 |
+
"covered",
|
1183 |
+
"coz",
|
1184 |
+
"craft",
|
1185 |
+
"crafting",
|
1186 |
+
"create",
|
1187 |
+
"creating",
|
1188 |
+
"credible",
|
1189 |
+
"credit",
|
1190 |
+
"creditor",
|
1191 |
+
"creditors",
|
1192 |
+
"crucial",
|
1193 |
+
"ct",
|
1194 |
+
"ct.",
|
1195 |
+
"cts",
|
1196 |
+
"curious",
|
1197 |
+
"cut",
|
1198 |
+
"cuz",
|
1199 |
+
"c\u2019m",
|
1200 |
+
"d",
|
1201 |
+
"d)",
|
1202 |
+
"d-",
|
1203 |
+
"d-)",
|
1204 |
+
"d-X",
|
1205 |
+
"d.",
|
1206 |
+
"d.c.",
|
1207 |
+
"d.d",
|
1208 |
+
"d.x",
|
1209 |
+
"dX",
|
1210 |
+
"d_d",
|
1211 |
+
"d_x",
|
1212 |
+
"dakota",
|
1213 |
+
"dallas",
|
1214 |
+
"dare",
|
1215 |
+
"data",
|
1216 |
+
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|
1217 |
+
"dd",
|
1218 |
+
"ddd",
|
1219 |
+
"ddx.x",
|
1220 |
+
"ddx.x.",
|
1221 |
+
"de",
|
1222 |
+
"deal",
|
1223 |
+
"deals",
|
1224 |
+
"debtor",
|
1225 |
+
"debtors",
|
1226 |
+
"dec",
|
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1722 |
+
"mar.",
|
1723 |
+
"market",
|
1724 |
+
"maryland",
|
1725 |
+
"mass",
|
1726 |
+
"mass.",
|
1727 |
+
"massachusetts",
|
1728 |
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"maximize",
|
1729 |
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"maximizing",
|
1730 |
+
"may",
|
1731 |
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"ma\u2019am",
|
1732 |
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"md",
|
1733 |
+
"md.",
|
1734 |
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"me",
|
1735 |
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|
1736 |
+
"meet",
|
1737 |
+
"memphis",
|
1738 |
+
"men",
|
1739 |
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"mes",
|
1740 |
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"mesa",
|
1741 |
+
"messrs",
|
1742 |
+
"messrs.",
|
1743 |
+
"methods",
|
1744 |
+
"meticulously",
|
1745 |
+
"mexico",
|
1746 |
+
"mi",
|
1747 |
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"miami",
|
1748 |
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"mich",
|
1749 |
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"mich.",
|
1750 |
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"michigan",
|
1751 |
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"might",
|
1752 |
+
"milwaukee",
|
1753 |
+
"minimize",
|
1754 |
+
"minn",
|
1755 |
+
"minn.",
|
1756 |
+
"minneapolis",
|
1757 |
+
"minnesota",
|
1758 |
+
"miss",
|
1759 |
+
"miss.",
|
1760 |
+
"mississippi",
|
1761 |
+
"missouri",
|
1762 |
+
"mit",
|
1763 |
+
"mitigate",
|
1764 |
+
"mn",
|
1765 |
+
"mo",
|
1766 |
+
"mo.",
|
1767 |
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"modesto",
|
1768 |
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"moines",
|
1769 |
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"mont",
|
1770 |
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"mont.",
|
1771 |
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"montana",
|
1772 |
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"more",
|
1773 |
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"mortgage",
|
1774 |
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"mortgages",
|
1775 |
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"mortgagor",
|
1776 |
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"most",
|
1777 |
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"mpa",
|
1778 |
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"mr",
|
1779 |
+
"mr.",
|
1780 |
+
"mrs",
|
1781 |
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"mrs.",
|
1782 |
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"ms",
|
1783 |
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"ms.",
|
1784 |
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"mt",
|
1785 |
+
"mt.",
|
1786 |
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"mum",
|
1787 |
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"must",
|
1788 |
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"my",
|
1789 |
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"n",
|
1790 |
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"n's",
|
1791 |
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"n't",
|
1792 |
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"n.",
|
1793 |
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"n.c.",
|
1794 |
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"n.d.",
|
1795 |
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"n.h.",
|
1796 |
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"n.j.",
|
1797 |
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"n.m.",
|
1798 |
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"n.y.",
|
1799 |
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"na",
|
1800 |
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"nal",
|
1801 |
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"nar",
|
1802 |
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"nashville",
|
1803 |
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"nc",
|
1804 |
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"nc.",
|
1805 |
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"nce",
|
1806 |
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"ncy",
|
1807 |
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"nd",
|
1808 |
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"nd.",
|
1809 |
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"ndo",
|
1810 |
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|
1811 |
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"ne",
|
1812 |
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"neb",
|
1813 |
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"neb.",
|
1814 |
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"nebr",
|
1815 |
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"nebr.",
|
1816 |
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"nebraska",
|
1817 |
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"ned",
|
1818 |
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"need",
|
1819 |
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"needs",
|
1820 |
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|
1821 |
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|
1822 |
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|
1823 |
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|
1824 |
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"nevada",
|
1825 |
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"new",
|
1826 |
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"newark",
|
1827 |
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"ney",
|
1828 |
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"nfo",
|
1829 |
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"nge",
|
1830 |
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"ngs",
|
1831 |
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"nh",
|
1832 |
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"nia",
|
1833 |
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"nio",
|
1834 |
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"nix",
|
1835 |
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"nj",
|
1836 |
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"nm",
|
1837 |
+
"nn.",
|
1838 |
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"norfolk",
|
1839 |
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"north",
|
1840 |
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"not",
|
1841 |
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"notch",
|
1842 |
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"nothin",
|
1843 |
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"nothin'",
|
1844 |
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"nothing",
|
1845 |
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"nothin\u2019",
|
1846 |
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"nov",
|
1847 |
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"nov.",
|
1848 |
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"now",
|
1849 |
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"ns.",
|
1850 |
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"nse",
|
1851 |
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"nt",
|
1852 |
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"nt.",
|
1853 |
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"nta",
|
1854 |
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"nto",
|
1855 |
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"nts",
|
1856 |
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"nuances",
|
1857 |
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"nuff",
|
1858 |
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"nuthin",
|
1859 |
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"nuthin'",
|
1860 |
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"nuthin\u2019",
|
1861 |
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"nv",
|
1862 |
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"ny",
|
1863 |
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"n\u2019s",
|
1864 |
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"n\u2019t",
|
1865 |
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"o",
|
1866 |
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"o'clock",
|
1867 |
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"o's",
|
1868 |
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"o.",
|
1869 |
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"o.0",
|
1870 |
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"o.O",
|
1871 |
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"o.o",
|
1872 |
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"o_0",
|
1873 |
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"o_O",
|
1874 |
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"o_o",
|
1875 |
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"oakland",
|
1876 |
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"oan",
|
1877 |
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|
1878 |
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"ock",
|
1879 |
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"oct",
|
1880 |
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"oct.",
|
1881 |
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"ode",
|
1882 |
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|
1883 |
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"oes",
|
1884 |
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"of",
|
1885 |
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"of.",
|
1886 |
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|
1887 |
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|
1888 |
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"offerings",
|
1889 |
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"offers",
|
1890 |
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"ogs",
|
1891 |
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"oh",
|
1892 |
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"ohio",
|
1893 |
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"oid",
|
1894 |
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"oin",
|
1895 |
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"ois",
|
1896 |
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"oit",
|
1897 |
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"ok",
|
1898 |
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"okla",
|
1899 |
+
"okla.",
|
1900 |
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"oklahoma",
|
1901 |
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"oks",
|
1902 |
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"ol",
|
1903 |
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"ol'",
|
1904 |
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|
1905 |
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|
1906 |
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"olk",
|
1907 |
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"oln",
|
1908 |
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|
1909 |
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"ol\u2019",
|
1910 |
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|
1911 |
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"omaha",
|
1912 |
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"ome",
|
1913 |
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"on",
|
1914 |
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"ona",
|
1915 |
+
"ond",
|
1916 |
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"one",
|
1917 |
+
"ones",
|
1918 |
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"ong",
|
1919 |
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"onn",
|
1920 |
+
"ons",
|
1921 |
+
"ont",
|
1922 |
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"ood",
|
1923 |
+
"ook",
|
1924 |
+
"operations",
|
1925 |
+
"opportunities",
|
1926 |
+
"ops",
|
1927 |
+
"opt",
|
1928 |
+
"optimize",
|
1929 |
+
"optimum",
|
1930 |
+
"option",
|
1931 |
+
"options",
|
1932 |
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"or",
|
1933 |
+
"ora",
|
1934 |
+
"ord",
|
1935 |
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"order",
|
1936 |
+
"ore",
|
1937 |
+
"ore.",
|
1938 |
+
"oregon",
|
1939 |
+
"organized",
|
1940 |
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|
1941 |
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"ork",
|
1942 |
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"orlando",
|
1943 |
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|
1944 |
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"oro",
|
1945 |
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"orp",
|
1946 |
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"ors",
|
1947 |
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"ort",
|
1948 |
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"ory",
|
1949 |
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"os.",
|
1950 |
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"ose",
|
1951 |
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"ost",
|
1952 |
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"ota",
|
1953 |
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"oth",
|
1954 |
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"ought",
|
1955 |
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"our",
|
1956 |
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"ous",
|
1957 |
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"out",
|
1958 |
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"outs",
|
1959 |
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"ov.",
|
1960 |
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"ove",
|
1961 |
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"owa",
|
1962 |
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"own",
|
1963 |
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"ows",
|
1964 |
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"o\u2019clock",
|
1965 |
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"o\u2019s",
|
1966 |
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"p",
|
1967 |
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"p.",
|
1968 |
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"p.m",
|
1969 |
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|
1970 |
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|
1971 |
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|
1972 |
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|
1973 |
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|
1974 |
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|
1975 |
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|
1976 |
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|
1977 |
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|
1978 |
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"ped",
|
1979 |
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"pel",
|
1980 |
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|
1981 |
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"perfect",
|
1982 |
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|
1983 |
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"ph",
|
1984 |
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"ph.d.",
|
1985 |
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|
1986 |
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"phoenix",
|
1987 |
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"pittsburgh",
|
1988 |
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"place",
|
1989 |
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|
1990 |
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|
1991 |
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|
1992 |
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|
1993 |
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"pm",
|
1994 |
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"points",
|
1995 |
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|
1996 |
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"policy",
|
1997 |
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|
1998 |
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"positive",
|
1999 |
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"possible",
|
2000 |
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"ppi",
|
2001 |
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"pr.",
|
2002 |
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|
2003 |
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|
2004 |
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|
2005 |
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"prepare",
|
2006 |
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|
2007 |
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|
2008 |
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"present",
|
2009 |
+
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|
2010 |
+
"principal",
|
2011 |
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"principles",
|
2012 |
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"pro",
|
2013 |
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"process",
|
2014 |
+
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|
2015 |
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|
2016 |
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"prof.",
|
2017 |
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|
2018 |
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|
2019 |
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|
2020 |
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|
2021 |
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"profitable",
|
2022 |
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|
2023 |
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|
2024 |
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|
2025 |
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|
2026 |
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|
2027 |
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|
2028 |
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|
2029 |
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|
2030 |
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|
2031 |
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|
2032 |
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|
2033 |
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|
2034 |
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|
2035 |
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|
2036 |
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|
2037 |
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|
2038 |
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"q.",
|
2039 |
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|
2040 |
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|
2041 |
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|
2042 |
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|
2043 |
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"r",
|
2044 |
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|
2045 |
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|
2046 |
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|
2047 |
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|
2048 |
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|
2049 |
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|
2050 |
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|
2051 |
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|
2052 |
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|
2053 |
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|
2054 |
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|
2055 |
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|
2056 |
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|
2057 |
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|
2058 |
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|
2059 |
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|
2060 |
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|
2061 |
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|
2062 |
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|
2063 |
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|
2064 |
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|
2065 |
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|
2066 |
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|
2067 |
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|
2068 |
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|
2069 |
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|
2070 |
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|
2071 |
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|
2072 |
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|
2073 |
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|
2074 |
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|
2075 |
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|
2076 |
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|
2077 |
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|
2078 |
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|
2079 |
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|
2080 |
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|
2081 |
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|
2082 |
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|
2083 |
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|
2084 |
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|
2085 |
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|
2086 |
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|
2087 |
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|
2088 |
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|
2089 |
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|
2090 |
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|
2091 |
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|
2092 |
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|
2093 |
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|
2094 |
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|
2095 |
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|
2096 |
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|
2097 |
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|
2098 |
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|
2099 |
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|
2100 |
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|
2101 |
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|
2102 |
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|
2103 |
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|
2104 |
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|
2105 |
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|
2106 |
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"rms",
|
2107 |
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|
2108 |
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|
2109 |
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|
2110 |
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|
2111 |
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|
2112 |
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|
2113 |
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|
2114 |
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|
2115 |
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|
2116 |
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|
2117 |
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|
2118 |
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|
2119 |
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|
2120 |
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|
2121 |
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|
2122 |
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|
2123 |
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|
2124 |
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|
2125 |
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|
2126 |
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|
2127 |
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|
2128 |
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|
2129 |
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|
2130 |
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|
2131 |
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|
2132 |
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|
2133 |
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|
2134 |
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|
2135 |
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|
2136 |
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|
2137 |
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|
2138 |
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|
2139 |
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|
2140 |
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|
2141 |
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|
2142 |
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|
2143 |
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|
2144 |
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|
2145 |
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|
2146 |
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|
2147 |
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|
2148 |
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|
2149 |
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|
2150 |
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|
2151 |
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|
2152 |
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|
2153 |
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|
2154 |
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|
2155 |
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|
2156 |
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|
2157 |
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|
2158 |
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|
2159 |
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|
2160 |
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|
2161 |
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|
2162 |
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|
2163 |
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|
2164 |
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|
2165 |
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|
2166 |
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|
2167 |
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|
2168 |
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|
2169 |
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|
2170 |
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|
2171 |
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|
2172 |
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|
2173 |
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|
2174 |
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|
2175 |
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|
2176 |
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|
2177 |
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|
2178 |
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|
2179 |
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|
2180 |
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|
2181 |
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|
2182 |
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|
2183 |
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|
2184 |
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|
2185 |
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|
2186 |
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|
2187 |
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|
2188 |
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|
2189 |
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|
2190 |
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|
2191 |
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|
2192 |
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|
2193 |
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|
2194 |
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|
2195 |
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|
2196 |
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|
2197 |
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|
2198 |
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|
2199 |
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|
2200 |
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|
2201 |
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|
2202 |
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|
2203 |
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|
2204 |
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|
2205 |
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|
2206 |
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|
2207 |
+
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|
2208 |
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|
2209 |
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|
2210 |
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|
2211 |
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|
2212 |
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|
2213 |
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|
2214 |
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|
2215 |
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|
2216 |
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|
2217 |
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|
2218 |
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|
2219 |
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2225 |
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2251 |
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2252 |
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2253 |
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2255 |
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2256 |
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2257 |
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2325 |
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2326 |
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2327 |
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2329 |
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2330 |
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2331 |
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2500 |
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2504 |
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2506 |
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2507 |
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2521 |
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2522 |
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2523 |
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2524 |
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2525 |
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2526 |
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2527 |
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2528 |
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2529 |
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2530 |
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2531 |
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2532 |
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2533 |
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2534 |
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2535 |
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2536 |
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2537 |
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2540 |
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2546 |
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2549 |
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2550 |
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2551 |
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2552 |
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2553 |
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2554 |
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2555 |
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2556 |
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2557 |
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2558 |
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2559 |
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2560 |
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2561 |
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2562 |
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2563 |
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2564 |
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2565 |
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"\u2501",
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2566 |
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"\u253b",
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2567 |
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"\u253b\u2501\u253b",
|
2568 |
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"\u256f",
|
2569 |
+
"\u25a1",
|
2570 |
+
"\ufe35",
|
2571 |
+
"\uff09"
|
2572 |
+
]
|
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ADDED
Binary file (128 Bytes). View file
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both_models/spacy_ner_model/en_pipeline/en_pipeline-0.0.0/vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
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|
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{
|
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|
3 |
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|
both_models/spacy_ner_model/en_pipeline/meta.json
ADDED
@@ -0,0 +1,68 @@
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|
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|
|
|
|
|
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|
|
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|
|
|
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|
|
1 |
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{
|
2 |
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|
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|
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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10 |
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20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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]
|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
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|
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|
38 |
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|
39 |
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|
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|
42 |
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],
|
43 |
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|
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|
46 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"tok2vec_loss":208.7829439196,
|
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|
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|
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|
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|
67 |
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|
68 |
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}
|
both_models/spacy_ner_model/meta.json
ADDED
@@ -0,0 +1,68 @@
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|
|
|
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|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"lang":"en",
|
3 |
+
"name":"pipeline",
|
4 |
+
"version":"0.0.0",
|
5 |
+
"description":"",
|
6 |
+
"author":"",
|
7 |
+
"email":"",
|
8 |
+
"url":"",
|
9 |
+
"license":"",
|
10 |
+
"spacy_version":">=3.6.0,<3.7.0",
|
11 |
+
"spacy_git_version":"6fc153a26",
|
12 |
+
"vectors":{
|
13 |
+
"width":0,
|
14 |
+
"vectors":0,
|
15 |
+
"keys":0,
|
16 |
+
"name":null
|
17 |
+
},
|
18 |
+
"labels":{
|
19 |
+
"tok2vec":[
|
20 |
+
|
21 |
+
],
|
22 |
+
"entity_ruler":[
|
23 |
+
"STATE",
|
24 |
+
"STATE_CODE",
|
25 |
+
"ZIPCODE"
|
26 |
+
],
|
27 |
+
"ner":[
|
28 |
+
"CITY",
|
29 |
+
"STATE",
|
30 |
+
"VERTICAL"
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"pipeline":[
|
34 |
+
"tok2vec",
|
35 |
+
"entity_ruler",
|
36 |
+
"ner"
|
37 |
+
],
|
38 |
+
"components":[
|
39 |
+
"tok2vec",
|
40 |
+
"entity_ruler",
|
41 |
+
"ner"
|
42 |
+
],
|
43 |
+
"disabled":[
|
44 |
+
|
45 |
+
],
|
46 |
+
"performance":{
|
47 |
+
"ents_f":0.9981834696,
|
48 |
+
"ents_p":0.9990909091,
|
49 |
+
"ents_r":0.997277677,
|
50 |
+
"ents_per_type":{
|
51 |
+
"VERTICAL":{
|
52 |
+
"p":1.0,
|
53 |
+
"r":0.9966499162,
|
54 |
+
"f":0.9983221477
|
55 |
+
},
|
56 |
+
"CITY":{
|
57 |
+
"p":0.998019802,
|
58 |
+
"r":0.998019802,
|
59 |
+
"f":0.998019802
|
60 |
+
}
|
61 |
+
},
|
62 |
+
"tok2vec_loss":208.7829439196,
|
63 |
+
"ner_loss":27.6274758303
|
64 |
+
},
|
65 |
+
"requirements":[
|
66 |
+
|
67 |
+
]
|
68 |
+
}
|
both_models/spacy_ner_model/setup.py
ADDED
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
#!/usr/bin/env python
|
2 |
+
import io
|
3 |
+
import json
|
4 |
+
from os import path, walk
|
5 |
+
from shutil import copy
|
6 |
+
from setuptools import setup
|
7 |
+
|
8 |
+
|
9 |
+
def load_meta(fp):
|
10 |
+
with io.open(fp, encoding='utf8') as f:
|
11 |
+
return json.load(f)
|
12 |
+
|
13 |
+
|
14 |
+
def load_readme(fp):
|
15 |
+
if path.exists(fp):
|
16 |
+
with io.open(fp, encoding='utf8') as f:
|
17 |
+
return f.read()
|
18 |
+
return ""
|
19 |
+
|
20 |
+
|
21 |
+
def list_files(data_dir):
|
22 |
+
output = []
|
23 |
+
for root, _, filenames in walk(data_dir):
|
24 |
+
for filename in filenames:
|
25 |
+
if not filename.startswith('.'):
|
26 |
+
output.append(path.join(root, filename))
|
27 |
+
output = [path.relpath(p, path.dirname(data_dir)) for p in output]
|
28 |
+
output.append('meta.json')
|
29 |
+
return output
|
30 |
+
|
31 |
+
|
32 |
+
def list_requirements(meta):
|
33 |
+
parent_package = meta.get('parent_package', 'spacy')
|
34 |
+
requirements = [parent_package + meta['spacy_version']]
|
35 |
+
if 'setup_requires' in meta:
|
36 |
+
requirements += meta['setup_requires']
|
37 |
+
if 'requirements' in meta:
|
38 |
+
requirements += meta['requirements']
|
39 |
+
return requirements
|
40 |
+
|
41 |
+
|
42 |
+
def setup_package():
|
43 |
+
root = path.abspath(path.dirname(__file__))
|
44 |
+
meta_path = path.join(root, 'meta.json')
|
45 |
+
meta = load_meta(meta_path)
|
46 |
+
readme_path = path.join(root, 'README.md')
|
47 |
+
readme = load_readme(readme_path)
|
48 |
+
model_name = str(meta['lang'] + '_' + meta['name'])
|
49 |
+
model_dir = path.join(model_name, model_name + '-' + meta['version'])
|
50 |
+
|
51 |
+
copy(meta_path, path.join(model_name))
|
52 |
+
copy(meta_path, model_dir)
|
53 |
+
|
54 |
+
setup(
|
55 |
+
name=model_name,
|
56 |
+
description=meta.get('description'),
|
57 |
+
long_description=readme,
|
58 |
+
author=meta.get('author'),
|
59 |
+
author_email=meta.get('email'),
|
60 |
+
url=meta.get('url'),
|
61 |
+
version=meta['version'],
|
62 |
+
license=meta.get('license'),
|
63 |
+
packages=[model_name],
|
64 |
+
package_data={model_name: list_files(model_dir)},
|
65 |
+
install_requires=list_requirements(meta),
|
66 |
+
zip_safe=False,
|
67 |
+
entry_points={'spacy_models': ['{m} = {m}'.format(m=model_name)]}
|
68 |
+
)
|
69 |
+
|
70 |
+
|
71 |
+
if __name__ == '__main__':
|
72 |
+
setup_package()
|