Kaelan commited on
Commit
76ae9cb
1 Parent(s): 35d7c68

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -32,3 +32,6 @@ 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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+ en_Radiology_ClinicalBert_Ner-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ ner/model filter=lfs diff=lfs merge=lfs -text
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+ transformer/model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language:
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+ - en
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+ model-index:
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+ - name: en_Radiology_ClinicalBert_Ner
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+ results: []
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_Radiology_ClinicalBert_Ner` |
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+ | **Version** | `0.0.0` |
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+ | **spaCy** | `>=3.4.4,<3.5.0` |
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+ | **Default Pipeline** | `transformer`, `ner` |
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+ | **Components** | `transformer`, `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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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (3 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `ABST_RECOVER`, `DX`, `EXIST_WORSEN` |
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+
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+ </details>
config.cfg ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = null
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+ dev = null
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ seed = 0
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+ gpu_allocator = null
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["transformer","ner"]
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+ disabled = []
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+ before_creation = null
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+ after_creation = null
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+ after_pipeline_creation = null
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+ batch_size = 1000
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
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+ [components]
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+
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+ [components.ner]
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+ factory = "ner"
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+ incorrect_spans_key = null
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+ moves = null
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+ scorer = {"@scorers":"spacy.ner_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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+ [components.ner.model]
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+ @architectures = "spacy.TransitionBasedParser.v2"
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+ state_type = "ner"
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+ extra_state_tokens = false
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+ hidden_width = 64
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+ maxout_pieces = 2
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+ use_upper = true
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+ nO = null
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+
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+ [components.ner.model.tok2vec]
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+ @architectures = "spacy.HashEmbedCNN.v2"
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+ pretrained_vectors = null
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+ width = 96
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+ depth = 4
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+ embed_size = 2000
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+ window_size = 1
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+ maxout_pieces = 3
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+ subword_features = true
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+
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+ [components.transformer]
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+ factory = "transformer"
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+ max_batch_items = 4096
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+ set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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+
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+ [components.transformer.model]
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+ @architectures = "spacy-transformers.TransformerModel.v3"
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+ name = "emilyalsentzer/Bio_ClinicalBERT"
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+ mixed_precision = false
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+
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+ [components.transformer.model.get_spans]
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+ @span_getters = "spacy-transformers.strided_spans.v1"
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+ window = 128
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+ stride = 96
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+
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+ [components.transformer.model.grad_scaler_config]
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+
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+ [components.transformer.model.tokenizer_config]
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+ use_fast = true
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+
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+ [components.transformer.model.transformer_config]
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+
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+ [corpora]
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.dev}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [corpora.train]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.train}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [training]
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
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+ dropout = 0.1
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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_epochs = 0
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+ max_steps = 20000
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+ eval_frequency = 200
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+ frozen_components = []
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+ annotating_components = []
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ before_to_disk = null
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+
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_words.v1"
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+ discard_oversize = false
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+ tolerance = 0.2
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+ get_length = null
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+
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+ [training.batcher.size]
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+ @schedules = "compounding.v1"
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+ start = 100
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+ stop = 1000
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+ compound = 1.001
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+ t = 0.0
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+
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+ [training.logger]
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+ @loggers = "spacy.ConsoleLogger.v1"
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+ progress_bar = false
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 0.00000001
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+ learn_rate = 0.001
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+
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+ [training.score_weights]
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+ ents_f = 1.0
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+ ents_p = 0.0
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+ ents_r = 0.0
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+ ents_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ vocab_data = null
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+ lookups = null
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+ before_init = null
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+ after_init = null
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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
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meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"Radiology_ClinicalBert_Ner",
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+ "version":"0.0.0",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_version":">=3.4.4,<3.5.0",
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+ "name":null
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+ },
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+ "labels":{
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+ "transformer":[
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+
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+ "ner":[
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+ "ABST_RECOVER",
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+ "DX",
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+ "EXIST_WORSEN"
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+ ]
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+ },
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+ "pipeline":[
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+ "transformer",
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+ "ner"
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+ ],
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+ "components":[
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+ "transformer",
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+ "ner"
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+ ],
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+ "disabled":[
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+
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+ ],
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+ "performance":{
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+
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+ },
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+ "requirements":[
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+ "spacy-transformers>=1.2.2,<1.3.0"
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+ ]
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+ }
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+ "beam_density":0.0,
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+ "beam_update_prob":0.0,
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+ "incorrect_spans_key":null
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1287
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1360
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1371
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1500
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1568
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1570
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1572
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1573
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1575
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1576
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1577
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1578
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1579
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1580
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1581
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1582
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1583
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1584
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1585
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1586
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1587
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1588
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1589
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1590
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1591
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1592
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1594
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1596
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1597
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1598
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1599
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1600
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1601
+ "bronchiectasis",
1602
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1604
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1605
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1606
+ "bronchovascular",
1607
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1608
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1611
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1612
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1617
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1622
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1627
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1628
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1629
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1630
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1631
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1632
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1633
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1635
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1660
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1661
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1673
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1680
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1800
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+ "sms",
3483
+ "sn",
3484
+ "snohomish",
3485
+ "so",
3486
+ "soalled",
3487
+ "softened",
3488
+ "sogastric",
3489
+ "sol",
3490
+ "sold",
3491
+ "solid",
3492
+ "some",
3493
+ "somethin",
3494
+ "somethin'",
3495
+ "something",
3496
+ "somethin\u2019",
3497
+ "son",
3498
+ "song",
3499
+ "sore",
3500
+ "sounds",
3501
+ "sources",
3502
+ "space",
3503
+ "spaces",
3504
+ "spare",
3505
+ "sparing",
3506
+ "specific",
3507
+ "specifically",
3508
+ "spo2",
3509
+ "spontaneously",
3510
+ "spread",
3511
+ "sputum",
3512
+ "srs",
3513
+ "ss.",
3514
+ "st",
3515
+ "st.",
3516
+ "stability",
3517
+ "stable",
3518
+ "stage",
3519
+ "stand",
3520
+ "standard",
3521
+ "start",
3522
+ "started",
3523
+ "stat",
3524
+ "state",
3525
+ "status",
3526
+ "stay",
3527
+ "steadily",
3528
+ "stent",
3529
+ "stepped",
3530
+ "steroids",
3531
+ "still",
3532
+ "streaky",
3533
+ "streptococcus",
3534
+ "striae",
3535
+ "stroke",
3536
+ "strongly",
3537
+ "structure",
3538
+ "sts",
3539
+ "studies",
3540
+ "study",
3541
+ "subject",
3542
+ "subjected",
3543
+ "subjective",
3544
+ "subpleural",
3545
+ "subsequent",
3546
+ "subsequently",
3547
+ "subsided",
3548
+ "subtle",
3549
+ "successful",
3550
+ "such",
3551
+ "sudden",
3552
+ "sue",
3553
+ "suffering",
3554
+ "suggest",
3555
+ "suggesting",
3556
+ "suggestive",
3557
+ "suitable",
3558
+ "suitably",
3559
+ "suite",
3560
+ "superimposed",
3561
+ "superinfection",
3562
+ "superior",
3563
+ "superiorly",
3564
+ "supine",
3565
+ "supplemental",
3566
+ "supplementation",
3567
+ "support",
3568
+ "supportive",
3569
+ "suppression",
3570
+ "surface",
3571
+ "surgery",
3572
+ "surgical",
3573
+ "suspected",
3574
+ "suspicion",
3575
+ "svc",
3576
+ "swab",
3577
+ "symmetric",
3578
+ "symptomatic",
3579
+ "symptoms",
3580
+ "syncopal",
3581
+ "syncope",
3582
+ "syndrome",
3583
+ "syphilis",
3584
+ "systemic",
3585
+ "s\u2019s",
3586
+ "t",
3587
+ "t's",
3588
+ "t.",
3589
+ "ta",
3590
+ "tachipnoica",
3591
+ "tachycardia",
3592
+ "tachycardic",
3593
+ "tachypnea",
3594
+ "tachypneic",
3595
+ "tachypnoic",
3596
+ "taiwan",
3597
+ "taken",
3598
+ "tal",
3599
+ "tan",
3600
+ "taoyuan",
3601
+ "tat",
3602
+ "tay",
3603
+ "tb",
3604
+ "tc",
3605
+ "td.",
3606
+ "technique",
3607
+ "ted",
3608
+ "temperature",
3609
+ "ten",
3610
+ "tending",
3611
+ "tenn",
3612
+ "tenn.",
3613
+ "tensile",
3614
+ "tension",
3615
+ "ter",
3616
+ "term",
3617
+ "tes",
3618
+ "test",
3619
+ "tested",
3620
+ "tests",
3621
+ "texture",
3622
+ "than",
3623
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3624
+ "that's",
3625
+ "that\u2019s",
3626
+ "the",
3627
+ "them",
3628
+ "then",
3629
+ "therapy",
3630
+ "there",
3631
+ "there's",
3632
+ "therefore",
3633
+ "there\u2019s",
3634
+ "these",
3635
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3636
+ "thick",
3637
+ "thickening",
3638
+ "thickenings",
3639
+ "thickens",
3640
+ "third",
3641
+ "this",
3642
+ "this's",
3643
+ "this\u2019s",
3644
+ "thm",
3645
+ "thoracic",
3646
+ "thoraco",
3647
+ "thorax",
3648
+ "those",
3649
+ "throat",
3650
+ "thrombocytopenia",
3651
+ "thrombolysis",
3652
+ "through",
3653
+ "throughout",
3654
+ "ths",
3655
+ "thy",
3656
+ "tic",
3657
+ "tightness",
3658
+ "tiklid",
3659
+ "til",
3660
+ "tim",
3661
+ "time",
3662
+ "times",
3663
+ "tin",
3664
+ "tio",
3665
+ "tip",
3666
+ "tis",
3667
+ "tissue",
3668
+ "tle",
3669
+ "tly",
3670
+ "tmax",
3671
+ "to",
3672
+ "tofacitinib",
3673
+ "tomography",
3674
+ "ton",
3675
+ "tongji",
3676
+ "too",
3677
+ "tor",
3678
+ "toronto",
3679
+ "total",
3680
+ "touch",
3681
+ "touching",
3682
+ "towards",
3683
+ "traces",
3684
+ "trachea",
3685
+ "tracheal",
3686
+ "train",
3687
+ "transcriptase",
3688
+ "transferred",
3689
+ "transferring",
3690
+ "transmitted",
3691
+ "transparency",
3692
+ "transported",
3693
+ "transverse",
3694
+ "trauma",
3695
+ "travel",
3696
+ "traveled",
3697
+ "traveling",
3698
+ "travelled",
3699
+ "travels",
3700
+ "treat",
3701
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3702
+ "treatment",
3703
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3704
+ "trip",
3705
+ "trop",
3706
+ "tropical",
3707
+ "troponin",
3708
+ "try",
3709
+ "tte",
3710
+ "tube",
3711
+ "tubes",
3712
+ "tum",
3713
+ "turned",
3714
+ "tus",
3715
+ "two",
3716
+ "tympanic",
3717
+ "type",
3718
+ "typical",
3719
+ "t\u2019s",
3720
+ "u",
3721
+ "u.",
3722
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3723
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3724
+ "ube",
3725
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3726
+ "uch",
3727
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3728
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3729
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3730
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3731
+ "ug.",
3732
+ "ugh",
3733
+ "uid",
3734
+ "ukraine",
3735
+ "ul",
3736
+ "ul.",
3737
+ "ula",
3738
+ "ulcerative",
3739
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3740
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3741
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3742
+ "ult",
3743
+ "uma",
3744
+ "ume",
3745
+ "un.",
3746
+ "und",
3747
+ "under",
3748
+ "underestimates",
3749
+ "underestimation",
3750
+ "underlying",
3751
+ "underwent",
3752
+ "uneven",
3753
+ "ung",
3754
+ "union",
3755
+ "unit",
3756
+ "unobstructed",
3757
+ "unproductive",
3758
+ "unremarkable",
3759
+ "unresponsive",
3760
+ "unt",
3761
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3762
+ "untreated",
3763
+ "up",
3764
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3765
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3766
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3767
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3768
+ "urgent",
3769
+ "urinary",
3770
+ "urination",
3771
+ "uro",
3772
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3773
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3774
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3775
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3776
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3777
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3778
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3779
+ "ute",
3780
+ "uti",
3781
+ "utis",
3782
+ "v",
3783
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3784
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3785
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3786
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3787
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3788
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3789
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3790
+ "val",
3791
+ "valve",
3792
+ "vasal",
3793
+ "vascular",
3794
+ "vbg",
3795
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3796
+ "ved",
3797
+ "veiling",
3798
+ "vein",
3799
+ "vel",
3800
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3801
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3802
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3803
+ "ventilated",
3804
+ "ventilation",
3805
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3806
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3807
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3808
+ "ves",
3809
+ "vesicular",
3810
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3811
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3812
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3813
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3814
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3815
+ "vir",
3816
+ "viral",
3817
+ "virology",
3818
+ "visible",
3819
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3820
+ "visualized",
3821
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3822
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3823
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3824
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3825
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3826
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3827
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3828
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3829
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3830
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3831
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3832
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3833
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3834
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3835
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3836
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3837
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3838
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3839
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3840
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3841
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3842
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3843
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3844
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3845
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3846
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3847
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3848
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3849
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3850
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3851
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3852
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3853
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3854
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3855
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3856
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3857
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3858
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3859
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3860
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3861
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3862
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3863
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3864
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3865
+ "white",
3866
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3867
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3868
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3869
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3870
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3871
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3872
+ "why's",
3873
+ "why\u2019s",
3874
+ "wide",
3875
+ "widespread",
3876
+ "wife",
3877
+ "will",
3878
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3879
+ "wis.",
3880
+ "with",
3881
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3882
+ "without",
3883
+ "wly",
3884
+ "wo",
3885
+ "woman",
3886
+ "women",
3887
+ "work",
3888
+ "worked",
3889
+ "worker",
3890
+ "works",
3891
+ "worse",
3892
+ "worsening",
3893
+ "worth",
3894
+ "would",
3895
+ "wth",
3896
+ "wuchang",
3897
+ "wuhan",
3898
+ "w\u2019s",
3899
+ "x",
3900
+ "x'",
3901
+ "x'x",
3902
+ "x'xxxx",
3903
+ "x.",
3904
+ "x.X",
3905
+ "x.d",
3906
+ "x.x",
3907
+ "x.x.",
3908
+ "x/x",
3909
+ "x10",
3910
+ "xD",
3911
+ "xDD",
3912
+ "xX",
3913
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3914
+ "xXXd",
3915
+ "xXd",
3916
+ "xXxX",
3917
+ "x_X",
3918
+ "x_d",
3919
+ "x_x",
3920
+ "xam",
3921
+ "xay",
3922
+ "xd",
3923
+ "xdd",
3924
+ "xed",
3925
+ "xes",
3926
+ "xia",
3927
+ "xic",
3928
+ "xr",
3929
+ "xty",
3930
+ "xx",
3931
+ "xx'",
3932
+ "xx'x",
3933
+ "xx'xx",
3934
+ "xx.",
3935
+ "xxXx",
3936
+ "xxd",
3937
+ "xxx",
3938
+ "xxx'x",
3939
+ "xxx/xx",
3940
+ "xxxx",
3941
+ "xxxx'",
3942
+ "xxxx'x",
3943
+ "xxxx\u2010xxxx",
3944
+ "xxxx\u2019",
3945
+ "xxxx\u2019x",
3946
+ "xxx\u2019x",
3947
+ "xx\u2019",
3948
+ "xx\u2019x",
3949
+ "xx\u2019xx",
3950
+ "x\u2019",
3951
+ "x\u2019x",
3952
+ "x\u2019xxxx",
3953
+ "x\ufe35x",
3954
+ "y",
3955
+ "y'",
3956
+ "y's",
3957
+ "y.",
3958
+ "year",
3959
+ "years",
3960
+ "yed",
3961
+ "yellow",
3962
+ "yma",
3963
+ "yme",
3964
+ "you",
3965
+ "your",
3966
+ "ype",
3967
+ "ypo",
3968
+ "yst",
3969
+ "yte",
3970
+ "y\u2019",
3971
+ "y\u2019s",
3972
+ "z",
3973
+ "z.",
3974
+ "zed",
3975
+ "zone",
3976
+ "zones",
3977
+ "zzy",
3978
+ "|",
3979
+ "}",
3980
+ "\u00a0",
3981
+ "\u00ac",
3982
+ "\u00ac_\u00ac",
3983
+ "\u00af",
3984
+ "\u00af\\(x)/\u00af",
3985
+ "\u00af\\(\u30c4)/\u00af",
3986
+ "\u00b0",
3987
+ "\u00b0C.",
3988
+ "\u00b0F.",
3989
+ "\u00b0K.",
3990
+ "\u00b0X.",
3991
+ "\u00b0c.",
3992
+ "\u00b0f.",
3993
+ "\u00b0k.",
3994
+ "\u00b0x.",
3995
+ "\u00b5",
3996
+ "\u00b5L",
3997
+ "\u00b5l",
3998
+ "\u00b728",
3999
+ "\u00d7",
4000
+ "\u00e4",
4001
+ "\u00e4.",
4002
+ "\u00f6",
4003
+ "\u00f6.",
4004
+ "\u00fc",
4005
+ "\u00fc.",
4006
+ "\u03bc",
4007
+ "\u03bcmol",
4008
+ "\u0ca0",
4009
+ "\u0ca0_\u0ca0",
4010
+ "\u0ca0\ufe35\u0ca0",
4011
+ "\u2008",
4012
+ "\u2013",
4013
+ "\u201311",
4014
+ "\u2014",
4015
+ "\u2018",
4016
+ "\u2018S",
4017
+ "\u2018X",
4018
+ "\u2018s",
4019
+ "\u2018x",
4020
+ "\u2019",
4021
+ "\u2019-(",
4022
+ "\u2019-)",
4023
+ "\u2019Cause",
4024
+ "\u2019Cos",
4025
+ "\u2019Coz",
4026
+ "\u2019Cuz",
4027
+ "\u2019S",
4028
+ "\u2019X",
4029
+ "\u2019Xxx",
4030
+ "\u2019Xxxxx",
4031
+ "\u2019am",
4032
+ "\u2019bout",
4033
+ "\u2019cause",
4034
+ "\u2019cos",
4035
+ "\u2019coz",
4036
+ "\u2019cuz",
4037
+ "\u2019d",
4038
+ "\u2019em",
4039
+ "\u2019ll",
4040
+ "\u2019m",
4041
+ "\u2019nuff",
4042
+ "\u2019re",
4043
+ "\u2019s",
4044
+ "\u2019ve",
4045
+ "\u2019x",
4046
+ "\u2019xx",
4047
+ "\u2019xxx",
4048
+ "\u2019xxxx",
4049
+ "\u2019y",
4050
+ "\u2019\u2019",
4051
+ "\u201c",
4052
+ "\u201d",
4053
+ "\u2264",
4054
+ "\u2501",
4055
+ "\u253b",
4056
+ "\u253b\u2501\u253b",
4057
+ "\u256f",
4058
+ "\u25a1",
4059
+ "\ufe35",
4060
+ "\uff09"
4061
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
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+ {
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+ "mode":"default"
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+ }