Update spaCy pipeline
Browse files- .gitattributes +5 -0
- README.md +57 -0
- attribute_ruler/patterns +0 -0
- config.cfg +269 -0
- en_skillner-any-py3-none-any.whl +3 -0
- lemmatizer/lookups/lookups.bin +3 -0
- meta.json +231 -0
- ner/cfg +13 -0
- ner/model +3 -0
- ner/moves +1 -0
- parser/cfg +13 -0
- parser/model +0 -0
- parser/moves +1 -0
- senter/cfg +3 -0
- senter/model +0 -0
- tagger/cfg +57 -0
- tagger/model +0 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +3 -0
- vocab/key2row +3 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +3 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,8 @@ 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_skillner-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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tok2vec/model filter=lfs diff=lfs merge=lfs -text
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vocab/key2row filter=lfs diff=lfs merge=lfs -text
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vocab/vectors filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,57 @@
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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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license: mit
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model-index:
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- name: en_skillner
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results:
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- task:
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name: NER
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type: token-classification
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metrics:
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- name: NER Precision
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type: precision
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value: 0.0
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- name: NER Recall
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type: recall
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value: 0.0
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- name: NER F Score
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type: f_score
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value: 0
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---
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A Named Entity Recognition (NER) model to extract SKILL, EXPERIENCE and BENEFIT from job adverts.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_skillner` |
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| **Version** | `3.7.1` |
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| **spaCy** | `>=3.7.4,<3.8.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
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| **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br>[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br>[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br>[Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)](https://github.com/explosion/spacy-vectors-builder) (Explosion) |
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| **License** | `MIT` |
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| **Author** | [Explosion](https://explosion.ai) |
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### Label Scheme
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<details>
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<summary>View label scheme (3 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `SKILL`, `EXPERIENCE`, `BENEFIT` |
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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_P` | 0.00 |
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| `ENTS_R` | 0.00 |
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| `ENTS_F` | 0.00 |
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attribute_ruler/patterns
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Binary file (14.7 kB). View file
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config.cfg
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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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[system]
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gpu_allocator = null
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seed = 0
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[nlp]
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lang = "en"
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pipeline = ["tok2vec","tagger","parser","senter","attribute_ruler","lemmatizer","ner"]
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disabled = ["senter"]
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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 = 256
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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vectors = {"@vectors":"spacy.Vectors.v1"}
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[components]
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[components.attribute_ruler]
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factory = "attribute_ruler"
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scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
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validate = false
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[components.lemmatizer]
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factory = "lemmatizer"
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mode = "rule"
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model = null
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33 |
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overwrite = false
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scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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39 |
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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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[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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[components.ner.model.tok2vec]
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@architectures = "spacy.Tok2Vec.v2"
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[components.ner.model.tok2vec.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = 96
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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rows = [5000,1000,2500,2500]
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include_static_vectors = true
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[components.ner.model.tok2vec.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 96
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depth = 4
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window_size = 1
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maxout_pieces = 3
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[components.parser]
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factory = "parser"
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learn_tokens = false
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min_action_freq = 30
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moves = null
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scorer = {"@scorers":"spacy.parser_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.parser.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "parser"
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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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[components.parser.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode:width}
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upstream = "tok2vec"
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[components.senter]
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factory = "senter"
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overwrite = false
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scorer = {"@scorers":"spacy.senter_scorer.v1"}
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[components.senter.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.senter.model.tok2vec]
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@architectures = "spacy.Tok2Vec.v2"
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[components.senter.model.tok2vec.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = 16
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
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rows = [1000,500,500,500,50]
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include_static_vectors = true
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[components.senter.model.tok2vec.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 16
|
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depth = 2
|
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window_size = 1
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maxout_pieces = 2
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[components.tagger]
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factory = "tagger"
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label_smoothing = 0.0
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neg_prefix = "!"
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overwrite = false
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scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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[components.tagger.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
|
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normalize = false
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[components.tagger.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode:width}
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upstream = "tok2vec"
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[components.tok2vec]
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factory = "tok2vec"
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|
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[components.tok2vec.model]
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@architectures = "spacy.Tok2Vec.v2"
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[components.tok2vec.model.embed]
|
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@architectures = "spacy.MultiHashEmbed.v2"
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width = ${components.tok2vec.model.encode:width}
|
144 |
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY","IS_SPACE"]
|
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rows = [5000,1000,2500,2500,50,50]
|
146 |
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include_static_vectors = true
|
147 |
+
|
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[components.tok2vec.model.encode]
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149 |
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@architectures = "spacy.MaxoutWindowEncoder.v2"
|
150 |
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width = 96
|
151 |
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depth = 4
|
152 |
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window_size = 1
|
153 |
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maxout_pieces = 3
|
154 |
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[corpora]
|
156 |
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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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160 |
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gold_preproc = false
|
161 |
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max_length = 0
|
162 |
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limit = 0
|
163 |
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augmenter = null
|
164 |
+
|
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[corpora.train]
|
166 |
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@readers = "spacy.Corpus.v1"
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167 |
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path = ${paths.train}
|
168 |
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gold_preproc = false
|
169 |
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max_length = 0
|
170 |
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limit = 0
|
171 |
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augmenter = null
|
172 |
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|
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[training]
|
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train_corpus = "corpora.train"
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dev_corpus = "corpora.dev"
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seed = ${system:seed}
|
177 |
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gpu_allocator = ${system:gpu_allocator}
|
178 |
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dropout = 0.1
|
179 |
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accumulate_gradient = 1
|
180 |
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patience = 5000
|
181 |
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max_epochs = 0
|
182 |
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max_steps = 100000
|
183 |
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eval_frequency = 1000
|
184 |
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frozen_components = []
|
185 |
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before_to_disk = null
|
186 |
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annotating_components = []
|
187 |
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before_update = null
|
188 |
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|
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[training.batcher]
|
190 |
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@batchers = "spacy.batch_by_words.v1"
|
191 |
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discard_oversize = false
|
192 |
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tolerance = 0.2
|
193 |
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get_length = null
|
194 |
+
|
195 |
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[training.batcher.size]
|
196 |
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@schedules = "compounding.v1"
|
197 |
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start = 100
|
198 |
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stop = 1000
|
199 |
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compound = 1.001
|
200 |
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t = 0.0
|
201 |
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|
202 |
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[training.logger]
|
203 |
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@loggers = "spacy.ConsoleLogger.v1"
|
204 |
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progress_bar = false
|
205 |
+
|
206 |
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[training.optimizer]
|
207 |
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@optimizers = "Adam.v1"
|
208 |
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beta1 = 0.9
|
209 |
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beta2 = 0.999
|
210 |
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L2_is_weight_decay = true
|
211 |
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L2 = 0.01
|
212 |
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grad_clip = 1.0
|
213 |
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use_averages = true
|
214 |
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eps = 0.00000001
|
215 |
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learn_rate = 0.001
|
216 |
+
|
217 |
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[training.score_weights]
|
218 |
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tag_acc = 0.16
|
219 |
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dep_uas = 0.0
|
220 |
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dep_las = 0.16
|
221 |
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dep_las_per_type = null
|
222 |
+
sents_p = null
|
223 |
+
sents_r = null
|
224 |
+
sents_f = 0.02
|
225 |
+
lemma_acc = 0.5
|
226 |
+
ents_f = 0.16
|
227 |
+
ents_p = 0.0
|
228 |
+
ents_r = 0.0
|
229 |
+
ents_per_type = null
|
230 |
+
speed = 0.0
|
231 |
+
|
232 |
+
[pretraining]
|
233 |
+
|
234 |
+
[initialize]
|
235 |
+
vocab_data = null
|
236 |
+
vectors = ${paths.vectors}
|
237 |
+
init_tok2vec = ${paths.init_tok2vec}
|
238 |
+
before_init = null
|
239 |
+
after_init = null
|
240 |
+
|
241 |
+
[initialize.components]
|
242 |
+
|
243 |
+
[initialize.components.ner]
|
244 |
+
|
245 |
+
[initialize.components.ner.labels]
|
246 |
+
@readers = "spacy.read_labels.v1"
|
247 |
+
path = "corpus/labels/ner.json"
|
248 |
+
require = false
|
249 |
+
|
250 |
+
[initialize.components.parser]
|
251 |
+
|
252 |
+
[initialize.components.parser.labels]
|
253 |
+
@readers = "spacy.read_labels.v1"
|
254 |
+
path = "corpus/labels/parser.json"
|
255 |
+
require = false
|
256 |
+
|
257 |
+
[initialize.components.tagger]
|
258 |
+
|
259 |
+
[initialize.components.tagger.labels]
|
260 |
+
@readers = "spacy.read_labels.v1"
|
261 |
+
path = "corpus/labels/tagger.json"
|
262 |
+
require = false
|
263 |
+
|
264 |
+
[initialize.lookups]
|
265 |
+
@misc = "spacy.LookupsDataLoader.v1"
|
266 |
+
lang = ${nlp.lang}
|
267 |
+
tables = ["lexeme_norm"]
|
268 |
+
|
269 |
+
[initialize.tokenizer]
|
en_skillner-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4400576009ad90675cf87ab01dc9e28bc1e1094fedb77015ea3ea58d58aae75c
|
3 |
+
size 587676305
|
lemmatizer/lookups/lookups.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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oid sha256:eb64f40c0f8396d1762730c0ddf4dad2a52d138f5a389f71a1a1d088173b7737
|
3 |
+
size 972893
|
meta.json
ADDED
@@ -0,0 +1,231 @@
|
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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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|
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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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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"lang":"en",
|
3 |
+
"name":"skillner",
|
4 |
+
"version":"3.7.1",
|
5 |
+
"description":"A Named Entity Recognition (NER) model to extract SKILL, EXPERIENCE and BENEFIT from job adverts.",
|
6 |
+
"author":"Explosion",
|
7 |
+
"email":"contact@explosion.ai",
|
8 |
+
"url":"https://explosion.ai",
|
9 |
+
"license":"MIT",
|
10 |
+
"spacy_version":">=3.7.4,<3.8.0",
|
11 |
+
"spacy_git_version":"bd2c17e20",
|
12 |
+
"vectors":{
|
13 |
+
"width":300,
|
14 |
+
"vectors":514157,
|
15 |
+
"keys":514157,
|
16 |
+
"name":null
|
17 |
+
},
|
18 |
+
"labels":{
|
19 |
+
"ner":[
|
20 |
+
"SKILL",
|
21 |
+
"EXPERIENCE",
|
22 |
+
"BENEFIT"
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"pipeline":[
|
26 |
+
"tok2vec",
|
27 |
+
"tagger",
|
28 |
+
"parser",
|
29 |
+
"attribute_ruler",
|
30 |
+
"lemmatizer",
|
31 |
+
"ner"
|
32 |
+
],
|
33 |
+
"components":[
|
34 |
+
"tok2vec",
|
35 |
+
"tagger",
|
36 |
+
"parser",
|
37 |
+
"senter",
|
38 |
+
"attribute_ruler",
|
39 |
+
"lemmatizer",
|
40 |
+
"ner"
|
41 |
+
],
|
42 |
+
"disabled":[
|
43 |
+
"senter"
|
44 |
+
],
|
45 |
+
"performance":{
|
46 |
+
"ents_p":0.0,
|
47 |
+
"ents_r":0.0,
|
48 |
+
"ents_f":0,
|
49 |
+
"ents_per_type":{
|
50 |
+
"SKILL":{
|
51 |
+
"ent_type":{
|
52 |
+
"correct":0,
|
53 |
+
"incorrect":0,
|
54 |
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"partial":0,
|
55 |
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"missed":8,
|
56 |
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"spurious":4,
|
57 |
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"possible":8,
|
58 |
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"actual":4,
|
59 |
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"precision":0.0,
|
60 |
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"recall":0.0,
|
61 |
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"f1":0
|
62 |
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},
|
63 |
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"partial":{
|
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|
65 |
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|
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|
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|
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|
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|
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"actual":4,
|
71 |
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"precision":0.0,
|
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"recall":0.0,
|
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"f1":0
|
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},
|
75 |
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"strict":{
|
76 |
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"correct":0,
|
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"incorrect":0,
|
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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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"f1":0
|
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},
|
87 |
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"exact":{
|
88 |
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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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"f1":0
|
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}
|
99 |
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},
|
100 |
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"EXPERIENCE":{
|
101 |
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"ent_type":{
|
102 |
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"correct":0,
|
103 |
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"incorrect":0,
|
104 |
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"partial":0,
|
105 |
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|
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"spurious":0,
|
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"possible":1,
|
108 |
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"actual":0,
|
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"precision":0,
|
110 |
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"recall":0.0,
|
111 |
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"f1":0
|
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},
|
113 |
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"partial":{
|
114 |
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"correct":0,
|
115 |
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"incorrect":0,
|
116 |
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"partial":0,
|
117 |
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"missed":1,
|
118 |
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"spurious":0,
|
119 |
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"possible":1,
|
120 |
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"actual":0,
|
121 |
+
"precision":0,
|
122 |
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"recall":0.0,
|
123 |
+
"f1":0
|
124 |
+
},
|
125 |
+
"strict":{
|
126 |
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"correct":0,
|
127 |
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"incorrect":0,
|
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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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|
136 |
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},
|
137 |
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"exact":{
|
138 |
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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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|
147 |
+
"f1":0
|
148 |
+
}
|
149 |
+
},
|
150 |
+
"BENEFIT":{
|
151 |
+
"ent_type":{
|
152 |
+
"correct":0,
|
153 |
+
"incorrect":0,
|
154 |
+
"partial":0,
|
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|
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+
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|
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|
158 |
+
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|
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+
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|
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+
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|
161 |
+
"f1":0
|
162 |
+
},
|
163 |
+
"partial":{
|
164 |
+
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|
165 |
+
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|
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+
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|
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|
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+
"spurious":0,
|
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+
"possible":0,
|
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+
"actual":0,
|
171 |
+
"precision":0,
|
172 |
+
"recall":0,
|
173 |
+
"f1":0
|
174 |
+
},
|
175 |
+
"strict":{
|
176 |
+
"correct":0,
|
177 |
+
"incorrect":0,
|
178 |
+
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|
179 |
+
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|
180 |
+
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|
181 |
+
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|
182 |
+
"actual":0,
|
183 |
+
"precision":0,
|
184 |
+
"recall":0,
|
185 |
+
"f1":0
|
186 |
+
},
|
187 |
+
"exact":{
|
188 |
+
"correct":0,
|
189 |
+
"incorrect":0,
|
190 |
+
"partial":0,
|
191 |
+
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|
192 |
+
"spurious":0,
|
193 |
+
"possible":0,
|
194 |
+
"actual":0,
|
195 |
+
"precision":0,
|
196 |
+
"recall":0,
|
197 |
+
"f1":0
|
198 |
+
}
|
199 |
+
}
|
200 |
+
}
|
201 |
+
},
|
202 |
+
"sources":[
|
203 |
+
{
|
204 |
+
"name":"OntoNotes 5",
|
205 |
+
"url":"https://catalog.ldc.upenn.edu/LDC2013T19",
|
206 |
+
"license":"commercial (licensed by Explosion)",
|
207 |
+
"author":"Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston"
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"name":"ClearNLP Constituent-to-Dependency Conversion",
|
211 |
+
"url":"https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md",
|
212 |
+
"license":"Citation provided for reference, no code packaged with model",
|
213 |
+
"author":"Emory University"
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"name":"WordNet 3.0",
|
217 |
+
"url":"https://wordnet.princeton.edu/",
|
218 |
+
"author":"Princeton University",
|
219 |
+
"license":"WordNet 3.0 License"
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"name":"Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)",
|
223 |
+
"url":"https://github.com/explosion/spacy-vectors-builder",
|
224 |
+
"license":"CC0",
|
225 |
+
"author":"Explosion"
|
226 |
+
}
|
227 |
+
],
|
228 |
+
"requirements":[
|
229 |
+
|
230 |
+
]
|
231 |
+
}
|
ner/cfg
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"moves":null,
|
3 |
+
"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
+
|
6 |
+
],
|
7 |
+
"min_action_freq":1,
|
8 |
+
"learn_tokens":false,
|
9 |
+
"beam_width":1,
|
10 |
+
"beam_density":0.0,
|
11 |
+
"beam_update_prob":0.0,
|
12 |
+
"incorrect_spans_key":null
|
13 |
+
}
|
ner/model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad1527a2acf17522a21c700e9001234b38055adccc15ac43d2ccf9303e31d306
|
3 |
+
size 6383023
|
ner/moves
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
��moves�|{"0":{},"1":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355,"SKILL":-1,"EXPERIENCE":-2},"2":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355,"SKILL":-1,"EXPERIENCE":-2},"3":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355,"SKILL":-1,"EXPERIENCE":-2},"4":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355,"":1,"SKILL":-1,"EXPERIENCE":-2},"5":{"":1}}�cfg��neg_key�
|
parser/cfg
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"moves":null,
|
3 |
+
"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
+
|
6 |
+
],
|
7 |
+
"min_action_freq":30,
|
8 |
+
"learn_tokens":false,
|
9 |
+
"beam_width":1,
|
10 |
+
"beam_density":0.0,
|
11 |
+
"beam_update_prob":0.0,
|
12 |
+
"incorrect_spans_key":null
|
13 |
+
}
|
parser/model
ADDED
Binary file (320 kB). View file
|
|
parser/moves
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
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senter/cfg
ADDED
@@ -0,0 +1,3 @@
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1 |
+
{
|
2 |
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"overwrite":false
|
3 |
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}
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senter/model
ADDED
Binary file (220 kB). View file
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tagger/cfg
ADDED
@@ -0,0 +1,57 @@
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{
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"label_smoothing":0.0,
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3 |
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"labels":[
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"$",
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"''",
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",",
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7 |
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"-LRB-",
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8 |
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"-RRB-",
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".",
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":",
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"ADD",
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"AFX",
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"CC",
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14 |
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"CD",
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"DT",
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16 |
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"EX",
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"FW",
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"HYPH",
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"IN",
|
20 |
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"JJ",
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21 |
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"JJR",
|
22 |
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"JJS",
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23 |
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"LS",
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24 |
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"MD",
|
25 |
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"NFP",
|
26 |
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"NN",
|
27 |
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"NNP",
|
28 |
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"NNPS",
|
29 |
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"NNS",
|
30 |
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"PDT",
|
31 |
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"POS",
|
32 |
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"PRP",
|
33 |
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"PRP$",
|
34 |
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"RB",
|
35 |
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"RBR",
|
36 |
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"RBS",
|
37 |
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"RP",
|
38 |
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"SYM",
|
39 |
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"TO",
|
40 |
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"UH",
|
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"VB",
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42 |
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"VBD",
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43 |
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"VBG",
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"VBN",
|
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"VBP",
|
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"VBZ",
|
47 |
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"WDT",
|
48 |
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"WP",
|
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"WP$",
|
50 |
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"WRB",
|
51 |
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"XX",
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52 |
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"_SP",
|
53 |
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"``"
|
54 |
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],
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"neg_prefix":"!",
|
56 |
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"overwrite":false
|
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}
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tagger/model
ADDED
Binary file (19.8 kB). View file
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tok2vec/cfg
ADDED
@@ -0,0 +1,3 @@
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1 |
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{
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}
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tok2vec/model
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:af34b25fcc2b2f9e6a40a7f869859b391a3b0767bc19615609ed4145aa1d7c49
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size 6495793
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tokenizer
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