masciotta02
commited on
Commit
•
6ad5c41
1
Parent(s):
b255de5
Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +98 -0
- attribute_ruler/patterns +0 -0
- config.cfg +269 -0
- en_core_web_trf_esco_ner-any-py3-none-any.whl +3 -0
- entity_ruler/cfg +5 -0
- entity_ruler/patterns.jsonl +0 -0
- lemmatizer/lookups/lookups.bin +3 -0
- meta.json +530 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- parser/cfg +13 -0
- parser/model +0 -0
- parser/moves +2 -0
- tagger/cfg +56 -0
- tagger/model +0 -0
- tokenizer +3 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,5 @@ 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_core_web_trf_esco_ner-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,98 @@
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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_core_web_trf_esco_ner
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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: 0.9008293365
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- name: NER Recall
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type: recall
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value: 0.9029947917
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- name: NER F Score
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type: f_score
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value: 0.9019107643
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- task:
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name: TAG
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type: token-classification
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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value: 0.9812819818
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.9526219812
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.9390746643
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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value: 0.9011225055
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---
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English transformer pipeline based on en_core_web_trf plus an entity recognizer based on the ESCO taxonomy. (Transformer(name='roberta-base', piece_encoder='byte-bpe', stride=104, type='roberta', width=768, window=144, vocab_size=50265)). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_web_trf_esco_ner` |
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| **Version** | `3.7.3` |
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| **spaCy** | `>=3.7.2,<3.8.0` |
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| **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner`, `entity_ruler` |
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| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner`, `entity_ruler` |
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| **Vectors** | 0 keys, 0 unique vectors (0 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>[roberta-base](https://github.com/pytorch/fairseq/tree/master/examples/roberta) (Yinhan Liu and Myle Ott and Naman Goyal and Jingfei Du and Mandar Joshi and Danqi Chen and Omer Levy and Mike Lewis and Luke Zettlemoyer and Veselin Stoyanov) |
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| **License** | `MIT` |
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| **Author** | [robipolli@gmail.com](https://github.com/par-tec/esco-playground) |
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### Label Scheme
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<details>
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<summary>View label scheme (113 labels for 4 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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| **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
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| **`entity_ruler`** | `ESCO` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.86 |
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| `TOKEN_P` | 99.57 |
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| `TOKEN_R` | 99.58 |
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| `TOKEN_F` | 99.57 |
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| `TAG_ACC` | 98.13 |
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| `SENTS_P` | 94.89 |
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| `SENTS_R` | 85.79 |
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| `SENTS_F` | 90.11 |
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| `DEP_UAS` | 95.26 |
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| `DEP_LAS` | 93.91 |
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| `ENTS_P` | 90.08 |
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| `ENTS_R` | 90.30 |
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| `ENTS_F` | 90.19 |
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attribute_ruler/patterns
ADDED
Binary file (14.7 kB). View file
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config.cfg
ADDED
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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 = "pytorch"
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seed = 1
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[nlp]
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lang = "en"
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pipeline = ["transformer","tagger","parser","attribute_ruler","lemmatizer","ner","entity_ruler"]
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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 = 64
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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.entity_ruler]
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factory = "entity_ruler"
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ent_id_sep = "||"
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matcher_fuzzy_compare = {"@misc":"spacy.levenshtein_compare.v1"}
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overwrite_ents = false
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phrase_matcher_attr = null
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scorer = {"@scorers":"spacy.entity_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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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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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 = false
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
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width = ${components.transformer.model.hidden_width}
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upstream = "transformer"
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pooling = {"@layers":"reduce_mean.v1"}
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grad_factor = 1.0
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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 = false
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nO = null
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[components.parser.model.tok2vec]
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@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
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width = ${components.transformer.model.hidden_width}
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upstream = "transformer"
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pooling = {"@layers":"reduce_mean.v1"}
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grad_factor = 1.0
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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-curated-transformers.LastTransformerLayerListener.v1"
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width = ${components.transformer.model.hidden_width}
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upstream = "transformer"
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pooling = {"@layers":"reduce_mean.v1"}
|
109 |
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grad_factor = 1.0
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[components.transformer]
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factory = "curated_transformer"
|
113 |
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all_layer_outputs = false
|
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frozen = false
|
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|
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[components.transformer.model]
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@architectures = "spacy-curated-transformers.RobertaTransformer.v1"
|
118 |
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vocab_size = 50265
|
119 |
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hidden_width = 768
|
120 |
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piece_encoder = {"@architectures":"spacy-curated-transformers.ByteBpeEncoder.v1"}
|
121 |
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attention_probs_dropout_prob = 0.1
|
122 |
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hidden_act = "gelu"
|
123 |
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hidden_dropout_prob = 0.1
|
124 |
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intermediate_width = 3072
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layer_norm_eps = 0.00001
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126 |
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max_position_embeddings = 514
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model_max_length = 512
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128 |
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num_attention_heads = 12
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129 |
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num_hidden_layers = 12
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130 |
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padding_idx = 1
|
131 |
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type_vocab_size = 1
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132 |
+
torchscript = false
|
133 |
+
mixed_precision = false
|
134 |
+
wrapped_listener = null
|
135 |
+
|
136 |
+
[components.transformer.model.grad_scaler_config]
|
137 |
+
|
138 |
+
[components.transformer.model.with_spans]
|
139 |
+
@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
|
140 |
+
stride = 104
|
141 |
+
window = 144
|
142 |
+
batch_size = 384
|
143 |
+
|
144 |
+
[corpora]
|
145 |
+
|
146 |
+
[corpora.dev]
|
147 |
+
@readers = "spacy.Corpus.v1"
|
148 |
+
path = ${paths.dev}
|
149 |
+
gold_preproc = false
|
150 |
+
max_length = 0
|
151 |
+
limit = 0
|
152 |
+
augmenter = null
|
153 |
+
|
154 |
+
[corpora.train]
|
155 |
+
@readers = "spacy.Corpus.v1"
|
156 |
+
path = ${paths.train}
|
157 |
+
gold_preproc = false
|
158 |
+
max_length = 0
|
159 |
+
limit = 0
|
160 |
+
augmenter = null
|
161 |
+
|
162 |
+
[training]
|
163 |
+
train_corpus = "corpora.train"
|
164 |
+
dev_corpus = "corpora.dev"
|
165 |
+
seed = ${system:seed}
|
166 |
+
gpu_allocator = ${system:gpu_allocator}
|
167 |
+
dropout = 0.1
|
168 |
+
accumulate_gradient = 3
|
169 |
+
patience = 5000
|
170 |
+
max_epochs = 0
|
171 |
+
max_steps = 20000
|
172 |
+
eval_frequency = 1000
|
173 |
+
frozen_components = []
|
174 |
+
before_to_disk = null
|
175 |
+
annotating_components = []
|
176 |
+
before_update = null
|
177 |
+
|
178 |
+
[training.batcher]
|
179 |
+
@batchers = "spacy.batch_by_words.v1"
|
180 |
+
discard_oversize = false
|
181 |
+
size = 2000
|
182 |
+
tolerance = 0.2
|
183 |
+
get_length = null
|
184 |
+
|
185 |
+
[training.logger]
|
186 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
187 |
+
progress_bar = false
|
188 |
+
|
189 |
+
[training.optimizer]
|
190 |
+
@optimizers = "Adam.v1"
|
191 |
+
beta1 = 0.9
|
192 |
+
beta2 = 0.999
|
193 |
+
L2_is_weight_decay = true
|
194 |
+
L2 = 0.01
|
195 |
+
grad_clip = 1.0
|
196 |
+
use_averages = true
|
197 |
+
eps = 0.00000001
|
198 |
+
|
199 |
+
[training.optimizer.learn_rate]
|
200 |
+
@schedules = "warmup_linear.v1"
|
201 |
+
warmup_steps = 250
|
202 |
+
total_steps = 20000
|
203 |
+
initial_rate = 0.00005
|
204 |
+
|
205 |
+
[training.score_weights]
|
206 |
+
tag_acc = 0.16
|
207 |
+
dep_uas = 0.0
|
208 |
+
dep_las = 0.16
|
209 |
+
dep_las_per_type = null
|
210 |
+
sents_p = null
|
211 |
+
sents_r = null
|
212 |
+
sents_f = 0.02
|
213 |
+
lemma_acc = 0.5
|
214 |
+
ents_f = 0.16
|
215 |
+
ents_p = 0.0
|
216 |
+
ents_r = 0.0
|
217 |
+
ents_per_type = null
|
218 |
+
speed = 0.0
|
219 |
+
|
220 |
+
[pretraining]
|
221 |
+
|
222 |
+
[initialize]
|
223 |
+
vocab_data = null
|
224 |
+
vectors = ${paths.vectors}
|
225 |
+
init_tok2vec = ${paths.init_tok2vec}
|
226 |
+
before_init = null
|
227 |
+
after_init = null
|
228 |
+
|
229 |
+
[initialize.components]
|
230 |
+
|
231 |
+
[initialize.components.ner]
|
232 |
+
|
233 |
+
[initialize.components.ner.labels]
|
234 |
+
@readers = "spacy.read_labels.v1"
|
235 |
+
path = "corpus/labels/ner.json"
|
236 |
+
require = false
|
237 |
+
|
238 |
+
[initialize.components.parser]
|
239 |
+
|
240 |
+
[initialize.components.parser.labels]
|
241 |
+
@readers = "spacy.read_labels.v1"
|
242 |
+
path = "corpus/labels/parser.json"
|
243 |
+
require = false
|
244 |
+
|
245 |
+
[initialize.components.tagger]
|
246 |
+
|
247 |
+
[initialize.components.tagger.labels]
|
248 |
+
@readers = "spacy.read_labels.v1"
|
249 |
+
path = "corpus/labels/tagger.json"
|
250 |
+
require = false
|
251 |
+
|
252 |
+
[initialize.components.transformer]
|
253 |
+
|
254 |
+
[initialize.components.transformer.encoder_loader]
|
255 |
+
@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
|
256 |
+
name = "roberta-base"
|
257 |
+
revision = "main"
|
258 |
+
|
259 |
+
[initialize.components.transformer.piecer_loader]
|
260 |
+
@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
|
261 |
+
name = "roberta-base"
|
262 |
+
revision = "main"
|
263 |
+
|
264 |
+
[initialize.lookups]
|
265 |
+
@misc = "spacy.LookupsDataLoader.v1"
|
266 |
+
lang = ${nlp.lang}
|
267 |
+
tables = ["lexeme_norm"]
|
268 |
+
|
269 |
+
[initialize.tokenizer]
|
en_core_web_trf_esco_ner-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fe57613832a47dbe494562270151e7eda87ca175974fffb974f7ff1ccbb70cef
|
3 |
+
size 457585650
|
entity_ruler/cfg
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"overwrite":false,
|
3 |
+
"phrase_matcher_attr":null,
|
4 |
+
"ent_id_sep":"||"
|
5 |
+
}
|
entity_ruler/patterns.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
|
|
lemmatizer/lookups/lookups.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eb64f40c0f8396d1762730c0ddf4dad2a52d138f5a389f71a1a1d088173b7737
|
3 |
+
size 972893
|
meta.json
ADDED
@@ -0,0 +1,530 @@
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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":"core_web_trf_esco_ner",
|
4 |
+
"version":"3.7.3",
|
5 |
+
"description":"English transformer pipeline based on en_core_web_trf plus an entity recognizer based on the ESCO taxonomy. (Transformer(name='roberta-base', piece_encoder='byte-bpe', stride=104, type='roberta', width=768, window=144, vocab_size=50265)). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.",
|
6 |
+
"author":"robipolli@gmail.com",
|
7 |
+
"email":"robipolli@gmail.com",
|
8 |
+
"url":"https://github.com/par-tec/esco-playground",
|
9 |
+
"license":"MIT",
|
10 |
+
"spacy_version":">=3.7.2,<3.8.0",
|
11 |
+
"spacy_git_version":"a89eae928",
|
12 |
+
"vectors":{
|
13 |
+
"width":0,
|
14 |
+
"vectors":0,
|
15 |
+
"keys":0,
|
16 |
+
"name":null
|
17 |
+
},
|
18 |
+
"labels":{
|
19 |
+
"transformer":[
|
20 |
+
|
21 |
+
],
|
22 |
+
"tagger":[
|
23 |
+
"$",
|
24 |
+
"''",
|
25 |
+
",",
|
26 |
+
"-LRB-",
|
27 |
+
"-RRB-",
|
28 |
+
".",
|
29 |
+
":",
|
30 |
+
"ADD",
|
31 |
+
"AFX",
|
32 |
+
"CC",
|
33 |
+
"CD",
|
34 |
+
"DT",
|
35 |
+
"EX",
|
36 |
+
"FW",
|
37 |
+
"HYPH",
|
38 |
+
"IN",
|
39 |
+
"JJ",
|
40 |
+
"JJR",
|
41 |
+
"JJS",
|
42 |
+
"LS",
|
43 |
+
"MD",
|
44 |
+
"NFP",
|
45 |
+
"NN",
|
46 |
+
"NNP",
|
47 |
+
"NNPS",
|
48 |
+
"NNS",
|
49 |
+
"PDT",
|
50 |
+
"POS",
|
51 |
+
"PRP",
|
52 |
+
"PRP$",
|
53 |
+
"RB",
|
54 |
+
"RBR",
|
55 |
+
"RBS",
|
56 |
+
"RP",
|
57 |
+
"SYM",
|
58 |
+
"TO",
|
59 |
+
"UH",
|
60 |
+
"VB",
|
61 |
+
"VBD",
|
62 |
+
"VBG",
|
63 |
+
"VBN",
|
64 |
+
"VBP",
|
65 |
+
"VBZ",
|
66 |
+
"WDT",
|
67 |
+
"WP",
|
68 |
+
"WP$",
|
69 |
+
"WRB",
|
70 |
+
"XX",
|
71 |
+
"``"
|
72 |
+
],
|
73 |
+
"parser":[
|
74 |
+
"ROOT",
|
75 |
+
"acl",
|
76 |
+
"acomp",
|
77 |
+
"advcl",
|
78 |
+
"advmod",
|
79 |
+
"agent",
|
80 |
+
"amod",
|
81 |
+
"appos",
|
82 |
+
"attr",
|
83 |
+
"aux",
|
84 |
+
"auxpass",
|
85 |
+
"case",
|
86 |
+
"cc",
|
87 |
+
"ccomp",
|
88 |
+
"compound",
|
89 |
+
"conj",
|
90 |
+
"csubj",
|
91 |
+
"csubjpass",
|
92 |
+
"dative",
|
93 |
+
"dep",
|
94 |
+
"det",
|
95 |
+
"dobj",
|
96 |
+
"expl",
|
97 |
+
"intj",
|
98 |
+
"mark",
|
99 |
+
"meta",
|
100 |
+
"neg",
|
101 |
+
"nmod",
|
102 |
+
"npadvmod",
|
103 |
+
"nsubj",
|
104 |
+
"nsubjpass",
|
105 |
+
"nummod",
|
106 |
+
"oprd",
|
107 |
+
"parataxis",
|
108 |
+
"pcomp",
|
109 |
+
"pobj",
|
110 |
+
"poss",
|
111 |
+
"preconj",
|
112 |
+
"predet",
|
113 |
+
"prep",
|
114 |
+
"prt",
|
115 |
+
"punct",
|
116 |
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|
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|
501 |
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|
502 |
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{
|
503 |
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|
504 |
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|
505 |
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|
506 |
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"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"
|
507 |
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},
|
508 |
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{
|
509 |
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"name":"ClearNLP Constituent-to-Dependency Conversion",
|
510 |
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"url":"https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md",
|
511 |
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"license":"Citation provided for reference, no code packaged with model",
|
512 |
+
"author":"Emory University"
|
513 |
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},
|
514 |
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{
|
515 |
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"name":"WordNet 3.0",
|
516 |
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"url":"https://wordnet.princeton.edu/",
|
517 |
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"author":"Princeton University",
|
518 |
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"license":"WordNet 3.0 License"
|
519 |
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},
|
520 |
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{
|
521 |
+
"name":"roberta-base",
|
522 |
+
"author":"Yinhan Liu and Myle Ott and Naman Goyal and Jingfei Du and Mandar Joshi and Danqi Chen and Omer Levy and Mike Lewis and Luke Zettlemoyer and Veselin Stoyanov",
|
523 |
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"url":"https://github.com/pytorch/fairseq/tree/master/examples/roberta",
|
524 |
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"license":""
|
525 |
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}
|
526 |
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],
|
527 |
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"requirements":[
|
528 |
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"spacy-curated-transformers>=0.2.0,<0.3.0"
|
529 |
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]
|
530 |
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}
|
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 |
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"incorrect_spans_key":null
|
13 |
+
}
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ner/model
ADDED
Binary file (314 kB). View file
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ner/moves
ADDED
@@ -0,0 +1 @@
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1 |
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��moves�{"0":{},"1":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355},"2":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355},"3":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355},"4":{"ORG":56356,"DATE":40381,"PERSON":36475,"GPE":26716,"MONEY":15121,"CARDINAL":14096,"NORP":9638,"PERCENT":9182,"WORK_OF_ART":4475,"LOC":4047,"TIME":3670,"QUANTITY":3114,"FAC":3042,"EVENT":3015,"ORDINAL":2142,"PRODUCT":1782,"LAW":1620,"LANGUAGE":355,"":1},"5":{"":1}}�cfg��neg_key�
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parser/cfg
ADDED
@@ -0,0 +1,13 @@
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|
1 |
+
{
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2 |
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"moves":null,
|
3 |
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"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
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|
6 |
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],
|
7 |
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"min_action_freq":30,
|
8 |
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"learn_tokens":false,
|
9 |
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"beam_width":1,
|
10 |
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"beam_density":0.0,
|
11 |
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"beam_update_prob":0.0,
|
12 |
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"incorrect_spans_key":null
|
13 |
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}
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parser/model
ADDED
Binary file (640 kB). View file
|
|
parser/moves
ADDED
@@ -0,0 +1,2 @@
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|
|
|
|
|
|
1 |
+
��moves�
|
2 |
+
{"0":{"":994267},"1":{"":990803},"2":{"det":172595,"nsubj":165748,"compound":116623,"amod":105184,"aux":86667,"punct":65478,"advmod":62763,"poss":36443,"mark":27941,"nummod":22598,"auxpass":15594,"prep":14001,"nsubjpass":13856,"neg":12357,"cc":10739,"nmod":9562,"advcl":9062,"npadvmod":8168,"quantmod":7101,"intj":6464,"ccomp":5896,"dobj":3427,"expl":3360,"dep":2806,"predet":1944,"parataxis":1837,"csubj":1428,"preconj":621,"pobj||prep":616,"attr":578,"meta":376,"advmod||conj":368,"dobj||xcomp":352,"acomp":284,"nsubj||ccomp":224,"dative":206,"advmod||xcomp":149,"dobj||ccomp":70,"csubjpass":64,"dobj||conj":62,"prep||conj":51,"acl":48,"prep||nsubj":41,"prep||dobj":36,"xcomp":34,"advmod||ccomp":32,"oprd":31},"3":{"punct":183790,"pobj":182191,"prep":174008,"dobj":89615,"conj":59687,"cc":51930,"ccomp":30385,"advmod":22861,"xcomp":21021,"relcl":20969,"advcl":19828,"attr":17741,"acomp":16922,"appos":15265,"case":13388,"acl":12085,"pcomp":10324,"npadvmod":9796,"prt":8179,"agent":3903,"dative":3866,"nsubj":3470,"neg":2906,"amod":2839,"intj":2819,"nummod":2732,"oprd":2301,"dep":1487,"parataxis":1261,"quantmod":319,"nmod":294,"acl||dobj":200,"prep||dobj":190,"prep||nsubj":162,"acl||nsubj":159,"appos||nsubj":145,"relcl||dobj":134,"relcl||nsubj":111,"aux":103,"expl":96,"meta":92,"appos||dobj":86,"preconj":71,"csubj":65,"prep||nsubjpass":55,"prep||advmod":54,"prep||acomp":53,"det":51,"nsubjpass":45,"relcl||pobj":42,"acl||nsubjpass":42,"mark":40,"auxpass":39,"prep||pobj":36,"relcl||nsubjpass":32,"appos||nsubjpass":31},"4":{"ROOT":111664}}�cfg��neg_key�
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tagger/cfg
ADDED
@@ -0,0 +1,56 @@
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1 |
+
{
|
2 |
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"label_smoothing":0.0,
|
3 |
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"labels":[
|
4 |
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"$",
|
5 |
+
"''",
|
6 |
+
",",
|
7 |
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"-LRB-",
|
8 |
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"-RRB-",
|
9 |
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".",
|
10 |
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":",
|
11 |
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"ADD",
|
12 |
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"AFX",
|
13 |
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"CC",
|
14 |
+
"CD",
|
15 |
+
"DT",
|
16 |
+
"EX",
|
17 |
+
"FW",
|
18 |
+
"HYPH",
|
19 |
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"IN",
|
20 |
+
"JJ",
|
21 |
+
"JJR",
|
22 |
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"JJS",
|
23 |
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"LS",
|
24 |
+
"MD",
|
25 |
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"NFP",
|
26 |
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"NN",
|
27 |
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"NNP",
|
28 |
+
"NNPS",
|
29 |
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"NNS",
|
30 |
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"PDT",
|
31 |
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"POS",
|
32 |
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"PRP",
|
33 |
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"PRP$",
|
34 |
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"RB",
|
35 |
+
"RBR",
|
36 |
+
"RBS",
|
37 |
+
"RP",
|
38 |
+
"SYM",
|
39 |
+
"TO",
|
40 |
+
"UH",
|
41 |
+
"VB",
|
42 |
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"VBD",
|
43 |
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"VBG",
|
44 |
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"VBN",
|
45 |
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"VBP",
|
46 |
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"VBZ",
|
47 |
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"WDT",
|
48 |
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"WP",
|
49 |
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"WP$",
|
50 |
+
"WRB",
|
51 |
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"XX",
|
52 |
+
"``"
|
53 |
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],
|
54 |
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"neg_prefix":"!",
|
55 |
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"overwrite":false
|
56 |
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}
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tagger/model
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Binary file (151 kB). View file
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tokenizer
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