Commit
•
f96be1d
1
Parent(s):
335ad36
Update spaCy pipeline
Browse files- .gitattributes +4 -0
- LICENSE +19 -0
- LICENSES_SOURCES +98 -0
- README.md +102 -0
- accuracy.json +327 -0
- attribute_ruler/patterns +0 -0
- config.cfg +227 -0
- en_core_web_trf-any-py3-none-any.whl +3 -0
- lemmatizer/lookups/lookups.bin +3 -0
- meta.json +522 -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 +53 -0
- tagger/model +0 -0
- tokenizer +3 -0
- transformer/cfg +3 -0
- transformer/model/config.json +26 -0
- transformer/model/merges.txt +0 -0
- transformer/model/pytorch_model.bin +3 -0
- transformer/model/special_tokens_map.json +1 -0
- transformer/model/tokenizer.json +0 -0
- transformer/model/tokenizer_config.json +1 -0
- transformer/model/vocab.json +0 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +3 -0
- vocab/vectors +3 -0
.gitattributes
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vectors filter=lfs diff=lfs merge=lfs -text
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LICENSE
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Copyright 2021 ExplosionAI GmbH
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Permission is hereby granted, free of charge, to any person obtaining a copy of
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this software and associated documentation files (the "Software"), to deal in
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the Software without restriction, including without limitation the rights to
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use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
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of the Software, and to permit persons to whom the Software is furnished to do
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so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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LICENSES_SOURCES
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# OntoNotes 5
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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
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* URL: https://catalog.ldc.upenn.edu/LDC2013T19
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* License: commercial (licensed by Explosion)
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```
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```
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# ClearNLP Constituent-to-Dependency Conversion
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* Author: Emory University
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* URL: https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md
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* License: Citation provided for reference, no code packaged with model
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```
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```
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# WordNet 3.0
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* Author: Princeton University
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* URL: https://wordnet.princeton.edu/
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* License: WordNet 3.0 License
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```
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WordNet Release 3.0
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This software and database is being provided to you, the LICENSEE, by
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Princeton University under the following license. By obtaining, using
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and/or copying this software and database, you agree that you have
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read, understood, and will comply with these terms and conditions.:
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Permission to use, copy, modify and distribute this software and
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database and its documentation for any purpose and without fee or
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royalty is hereby granted, provided that you agree to comply with
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the following copyright notice and statements, including the disclaimer,
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and that the same appear on ALL copies of the software, database and
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documentation, including modifications that you make for internal
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use or for distribution.
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WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
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THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON
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UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
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IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON
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UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-
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ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE
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OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT
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INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR
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OTHER RIGHTS.
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The name of Princeton University or Princeton may not be used in
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advertising or publicity pertaining to distribution of the software
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and/or database. Title to copyright in this software, database and
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any associated documentation shall at all times remain with
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Princeton University and LICENSEE agrees to preserve same.```
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# roberta-base
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* 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
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* URL: https://github.com/pytorch/fairseq/tree/master/examples/roberta
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* License: MIT
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```
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MIT License
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Copyright (c) Facebook, Inc. and its affiliates.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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| 81 |
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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| 82 |
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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| 84 |
+
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The above copyright notice and this permission notice shall be included in all
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| 86 |
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copies or substantial portions of the Software.
|
| 87 |
+
|
| 88 |
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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| 89 |
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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| 90 |
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
| 91 |
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
| 92 |
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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| 93 |
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.```
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README.md
ADDED
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@@ -0,0 +1,102 @@
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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
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results:
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- tasks:
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name: NER
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type: token-classification
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metrics:
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- name: Precision
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type: precision
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value: 0.898632744
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- name: Recall
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type: recall
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value: 0.8985877404
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- name: F Score
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type: f_score
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value: 0.8986102416
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- tasks:
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name: POS
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type: token-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9779597496
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- tasks:
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name: SENTER
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type: token-classification
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metrics:
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- name: Precision
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type: precision
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value: 0.9533882851
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- name: Recall
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type: recall
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value: 0.8621940761
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- name: F Score
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type: f_score
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value: 0.9055009007
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- tasks:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9529693229
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- tasks:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9529693229
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---
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### Details: https://spacy.io/models/en#en_core_web_trf
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English transformer pipeline (roberta-base). 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` |
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| **Version** | `3.1.0` |
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| **spaCy** | `>=3.1.0,<3.2.0` |
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| **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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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** | [Explosion](https://explosion.ai) |
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### Label Scheme
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<details>
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<summary>View label scheme (112 labels for 3 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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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 99.93 |
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| `TAG_ACC` | 97.80 |
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| `DEP_UAS` | 95.30 |
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| `DEP_LAS` | 93.94 |
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| `ENTS_P` | 89.86 |
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| `ENTS_R` | 89.86 |
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| `ENTS_F` | 89.86 |
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| `SENTS_P` | 95.34 |
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| `SENTS_R` | 86.22 |
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| `SENTS_F` | 90.55 |
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accuracy.json
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},
|
| 266 |
+
"LOC": {
|
| 267 |
+
"p": 0.8250825083,
|
| 268 |
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"r": 0.7961783439,
|
| 269 |
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"f": 0.8103727715
|
| 270 |
+
},
|
| 271 |
+
"CARDINAL": {
|
| 272 |
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"p": 0.8595769683,
|
| 273 |
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"r": 0.8697978597,
|
| 274 |
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"f": 0.8646572104
|
| 275 |
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},
|
| 276 |
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"PERSON": {
|
| 277 |
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"p": 0.9422647528,
|
| 278 |
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"r": 0.9640992167,
|
| 279 |
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"f": 0.9530569447
|
| 280 |
+
},
|
| 281 |
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"NORP": {
|
| 282 |
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"p": 0.9249800479,
|
| 283 |
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"r": 0.9272,
|
| 284 |
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"f": 0.9260886936
|
| 285 |
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},
|
| 286 |
+
"LAW": {
|
| 287 |
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"p": 0.5789473684,
|
| 288 |
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"r": 0.6875,
|
| 289 |
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"f": 0.6285714286
|
| 290 |
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},
|
| 291 |
+
"PRODUCT": {
|
| 292 |
+
"p": 0.6686746988,
|
| 293 |
+
"r": 0.5260663507,
|
| 294 |
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"f": 0.5888594164
|
| 295 |
+
},
|
| 296 |
+
"TIME": {
|
| 297 |
+
"p": 0.7287671233,
|
| 298 |
+
"r": 0.7777777778,
|
| 299 |
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"f": 0.7524752475
|
| 300 |
+
},
|
| 301 |
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"EVENT": {
|
| 302 |
+
"p": 0.7443609023,
|
| 303 |
+
"r": 0.5689655172,
|
| 304 |
+
"f": 0.6449511401
|
| 305 |
+
},
|
| 306 |
+
"WORK_OF_ART": {
|
| 307 |
+
"p": 0.5721925134,
|
| 308 |
+
"r": 0.5515463918,
|
| 309 |
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"f": 0.56167979
|
| 310 |
+
},
|
| 311 |
+
"MONEY": {
|
| 312 |
+
"p": 0.9120481928,
|
| 313 |
+
"r": 0.893742621,
|
| 314 |
+
"f": 0.9028026237
|
| 315 |
+
},
|
| 316 |
+
"PERCENT": {
|
| 317 |
+
"p": 0.9164037855,
|
| 318 |
+
"r": 0.8897396631,
|
| 319 |
+
"f": 0.9028749029
|
| 320 |
+
},
|
| 321 |
+
"LANGUAGE": {
|
| 322 |
+
"p": 1.0,
|
| 323 |
+
"r": 0.75,
|
| 324 |
+
"f": 0.8571428571
|
| 325 |
+
}
|
| 326 |
+
}
|
| 327 |
+
}
|
attribute_ruler/patterns
ADDED
|
Binary file (16 kB). View file
|
config.cfg
ADDED
|
@@ -0,0 +1,227 @@
|
|
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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 |
+
[paths]
|
| 2 |
+
train = "corpus/en-core-web/train.spacy"
|
| 3 |
+
dev = "corpus/en-core-web/dev.spacy"
|
| 4 |
+
vectors = null
|
| 5 |
+
raw = null
|
| 6 |
+
init_tok2vec = null
|
| 7 |
+
vocab_data = null
|
| 8 |
+
|
| 9 |
+
[system]
|
| 10 |
+
gpu_allocator = "pytorch"
|
| 11 |
+
seed = 1
|
| 12 |
+
|
| 13 |
+
[nlp]
|
| 14 |
+
lang = "en"
|
| 15 |
+
pipeline = ["transformer","tagger","parser","attribute_ruler","lemmatizer","ner"]
|
| 16 |
+
disabled = []
|
| 17 |
+
before_creation = null
|
| 18 |
+
after_creation = null
|
| 19 |
+
after_pipeline_creation = null
|
| 20 |
+
batch_size = 64
|
| 21 |
+
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
| 22 |
+
|
| 23 |
+
[components]
|
| 24 |
+
|
| 25 |
+
[components.attribute_ruler]
|
| 26 |
+
factory = "attribute_ruler"
|
| 27 |
+
validate = false
|
| 28 |
+
|
| 29 |
+
[components.lemmatizer]
|
| 30 |
+
factory = "lemmatizer"
|
| 31 |
+
mode = "rule"
|
| 32 |
+
model = null
|
| 33 |
+
overwrite = false
|
| 34 |
+
|
| 35 |
+
[components.ner]
|
| 36 |
+
factory = "ner"
|
| 37 |
+
incorrect_spans_key = null
|
| 38 |
+
moves = null
|
| 39 |
+
update_with_oracle_cut_size = 100
|
| 40 |
+
|
| 41 |
+
[components.ner.model]
|
| 42 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
| 43 |
+
state_type = "ner"
|
| 44 |
+
extra_state_tokens = false
|
| 45 |
+
hidden_width = 64
|
| 46 |
+
maxout_pieces = 2
|
| 47 |
+
use_upper = false
|
| 48 |
+
nO = null
|
| 49 |
+
|
| 50 |
+
[components.ner.model.tok2vec]
|
| 51 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
| 52 |
+
grad_factor = 1.0
|
| 53 |
+
upstream = "transformer"
|
| 54 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
| 55 |
+
|
| 56 |
+
[components.parser]
|
| 57 |
+
factory = "parser"
|
| 58 |
+
learn_tokens = false
|
| 59 |
+
min_action_freq = 30
|
| 60 |
+
moves = null
|
| 61 |
+
update_with_oracle_cut_size = 100
|
| 62 |
+
|
| 63 |
+
[components.parser.model]
|
| 64 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
| 65 |
+
state_type = "parser"
|
| 66 |
+
extra_state_tokens = false
|
| 67 |
+
hidden_width = 64
|
| 68 |
+
maxout_pieces = 2
|
| 69 |
+
use_upper = false
|
| 70 |
+
nO = null
|
| 71 |
+
|
| 72 |
+
[components.parser.model.tok2vec]
|
| 73 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
| 74 |
+
grad_factor = 1.0
|
| 75 |
+
upstream = "transformer"
|
| 76 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
| 77 |
+
|
| 78 |
+
[components.tagger]
|
| 79 |
+
factory = "tagger"
|
| 80 |
+
|
| 81 |
+
[components.tagger.model]
|
| 82 |
+
@architectures = "spacy.Tagger.v1"
|
| 83 |
+
nO = null
|
| 84 |
+
|
| 85 |
+
[components.tagger.model.tok2vec]
|
| 86 |
+
@architectures = "spacy-transformers.TransformerListener.v1"
|
| 87 |
+
grad_factor = 1.0
|
| 88 |
+
upstream = "transformer"
|
| 89 |
+
pooling = {"@layers":"reduce_mean.v1"}
|
| 90 |
+
|
| 91 |
+
[components.transformer]
|
| 92 |
+
factory = "transformer"
|
| 93 |
+
max_batch_items = 4096
|
| 94 |
+
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
| 95 |
+
|
| 96 |
+
[components.transformer.model]
|
| 97 |
+
@architectures = "spacy-transformers.TransformerModel.v1"
|
| 98 |
+
name = "roberta-base"
|
| 99 |
+
|
| 100 |
+
[components.transformer.model.get_spans]
|
| 101 |
+
@span_getters = "spacy-transformers.strided_spans.v1"
|
| 102 |
+
window = 128
|
| 103 |
+
stride = 96
|
| 104 |
+
|
| 105 |
+
[components.transformer.model.tokenizer_config]
|
| 106 |
+
use_fast = true
|
| 107 |
+
|
| 108 |
+
[corpora]
|
| 109 |
+
|
| 110 |
+
[corpora.dev]
|
| 111 |
+
@readers = "spacy.Corpus.v1"
|
| 112 |
+
limit = 0
|
| 113 |
+
max_length = 0
|
| 114 |
+
path = ${paths:dev}
|
| 115 |
+
gold_preproc = false
|
| 116 |
+
augmenter = null
|
| 117 |
+
|
| 118 |
+
[corpora.train]
|
| 119 |
+
@readers = "spacy.Corpus.v1"
|
| 120 |
+
path = ${paths:train}
|
| 121 |
+
max_length = 500
|
| 122 |
+
gold_preproc = false
|
| 123 |
+
limit = 0
|
| 124 |
+
|
| 125 |
+
[corpora.train.augmenter]
|
| 126 |
+
@augmenters = "spacy.orth_variants.v1"
|
| 127 |
+
level = 0.2
|
| 128 |
+
lower = 0.5
|
| 129 |
+
|
| 130 |
+
[corpora.train.augmenter.orth_variants]
|
| 131 |
+
@readers = "srsly.read_json.v1"
|
| 132 |
+
path = "assets/orth_variants.json"
|
| 133 |
+
|
| 134 |
+
[training]
|
| 135 |
+
train_corpus = "corpora.train"
|
| 136 |
+
dev_corpus = "corpora.dev"
|
| 137 |
+
seed = ${system:seed}
|
| 138 |
+
gpu_allocator = ${system:gpu_allocator}
|
| 139 |
+
dropout = 0.1
|
| 140 |
+
accumulate_gradient = 3
|
| 141 |
+
patience = 5000
|
| 142 |
+
max_epochs = 0
|
| 143 |
+
max_steps = 20000
|
| 144 |
+
eval_frequency = 1000
|
| 145 |
+
frozen_components = []
|
| 146 |
+
before_to_disk = null
|
| 147 |
+
annotating_components = []
|
| 148 |
+
|
| 149 |
+
[training.batcher]
|
| 150 |
+
@batchers = "spacy.batch_by_padded.v1"
|
| 151 |
+
discard_oversize = true
|
| 152 |
+
get_length = null
|
| 153 |
+
size = 2000
|
| 154 |
+
buffer = 256
|
| 155 |
+
|
| 156 |
+
[training.logger]
|
| 157 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
| 158 |
+
progress_bar = false
|
| 159 |
+
|
| 160 |
+
[training.optimizer]
|
| 161 |
+
@optimizers = "Adam.v1"
|
| 162 |
+
beta1 = 0.9
|
| 163 |
+
beta2 = 0.999
|
| 164 |
+
L2_is_weight_decay = true
|
| 165 |
+
L2 = 0.01
|
| 166 |
+
grad_clip = 1.0
|
| 167 |
+
use_averages = true
|
| 168 |
+
eps = 0.00000001
|
| 169 |
+
|
| 170 |
+
[training.optimizer.learn_rate]
|
| 171 |
+
@schedules = "warmup_linear.v1"
|
| 172 |
+
warmup_steps = 250
|
| 173 |
+
total_steps = 20000
|
| 174 |
+
initial_rate = 0.00005
|
| 175 |
+
|
| 176 |
+
[training.score_weights]
|
| 177 |
+
tag_acc = 0.16
|
| 178 |
+
dep_uas = 0.0
|
| 179 |
+
dep_las = 0.16
|
| 180 |
+
dep_las_per_type = null
|
| 181 |
+
sents_p = null
|
| 182 |
+
sents_r = null
|
| 183 |
+
sents_f = 0.02
|
| 184 |
+
lemma_acc = 0.5
|
| 185 |
+
ents_f = 0.16
|
| 186 |
+
ents_p = 0.0
|
| 187 |
+
ents_r = 0.0
|
| 188 |
+
ents_per_type = null
|
| 189 |
+
|
| 190 |
+
[pretraining]
|
| 191 |
+
|
| 192 |
+
[initialize]
|
| 193 |
+
vocab_data = ${paths.vocab_data}
|
| 194 |
+
vectors = ${paths.vectors}
|
| 195 |
+
init_tok2vec = ${paths.init_tok2vec}
|
| 196 |
+
before_init = null
|
| 197 |
+
after_init = null
|
| 198 |
+
|
| 199 |
+
[initialize.components]
|
| 200 |
+
|
| 201 |
+
[initialize.components.ner]
|
| 202 |
+
|
| 203 |
+
[initialize.components.ner.labels]
|
| 204 |
+
@readers = "spacy.read_labels.v1"
|
| 205 |
+
path = "corpus/labels/ner.json"
|
| 206 |
+
require = false
|
| 207 |
+
|
| 208 |
+
[initialize.components.parser]
|
| 209 |
+
|
| 210 |
+
[initialize.components.parser.labels]
|
| 211 |
+
@readers = "spacy.read_labels.v1"
|
| 212 |
+
path = "corpus/labels/parser.json"
|
| 213 |
+
require = false
|
| 214 |
+
|
| 215 |
+
[initialize.components.tagger]
|
| 216 |
+
|
| 217 |
+
[initialize.components.tagger.labels]
|
| 218 |
+
@readers = "spacy.read_labels.v1"
|
| 219 |
+
path = "corpus/labels/tagger.json"
|
| 220 |
+
require = false
|
| 221 |
+
|
| 222 |
+
[initialize.lookups]
|
| 223 |
+
@misc = "spacy.LookupsDataLoader.v1"
|
| 224 |
+
lang = ${nlp.lang}
|
| 225 |
+
tables = ["lexeme_norm"]
|
| 226 |
+
|
| 227 |
+
[initialize.tokenizer]
|
en_core_web_trf-any-py3-none-any.whl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d34003f4dcd6c6bc04347e00ec1145337e2c606f579f5b35a34089c74f624761
|
| 3 |
+
size 460239233
|
lemmatizer/lookups/lookups.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb64f40c0f8396d1762730c0ddf4dad2a52d138f5a389f71a1a1d088173b7737
|
| 3 |
+
size 972893
|
meta.json
ADDED
|
@@ -0,0 +1,522 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"lang":"en",
|
| 3 |
+
"name":"core_web_trf",
|
| 4 |
+
"version":"3.1.0",
|
| 5 |
+
"description":"English transformer pipeline (roberta-base). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.",
|
| 6 |
+
"author":"Explosion",
|
| 7 |
+
"email":"contact@explosion.ai",
|
| 8 |
+
"url":"https://explosion.ai",
|
| 9 |
+
"license":"MIT",
|
| 10 |
+
"spacy_version":">=3.1.0,<3.2.0",
|
| 11 |
+
"spacy_git_version":"caba63b74",
|
| 12 |
+
"vectors":{
|
| 13 |
+
"width":0,
|
| 14 |
+
"vectors":0,
|
| 15 |
+
"keys":0,
|
| 16 |
+
"name":null
|
| 17 |
+
},
|
| 18 |
+
"labels":{
|
| 19 |
+
"transformer":[
|
| 20 |
+
|
| 21 |
+
],
|
| 22 |
+
"tagger":[
|
| 23 |
+
"$",
|
| 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 |
+
"quantmod",
|
| 117 |
+
"relcl",
|
| 118 |
+
"xcomp"
|
| 119 |
+
],
|
| 120 |
+
"attribute_ruler":[
|
| 121 |
+
|
| 122 |
+
],
|
| 123 |
+
"lemmatizer":[
|
| 124 |
+
|
| 125 |
+
],
|
| 126 |
+
"ner":[
|
| 127 |
+
"CARDINAL",
|
| 128 |
+
"DATE",
|
| 129 |
+
"EVENT",
|
| 130 |
+
"FAC",
|
| 131 |
+
"GPE",
|
| 132 |
+
"LANGUAGE",
|
| 133 |
+
"LAW",
|
| 134 |
+
"LOC",
|
| 135 |
+
"MONEY",
|
| 136 |
+
"NORP",
|
| 137 |
+
"ORDINAL",
|
| 138 |
+
"ORG",
|
| 139 |
+
"PERCENT",
|
| 140 |
+
"PERSON",
|
| 141 |
+
"PRODUCT",
|
| 142 |
+
"QUANTITY",
|
| 143 |
+
"TIME",
|
| 144 |
+
"WORK_OF_ART"
|
| 145 |
+
]
|
| 146 |
+
},
|
| 147 |
+
"pipeline":[
|
| 148 |
+
"transformer",
|
| 149 |
+
"tagger",
|
| 150 |
+
"parser",
|
| 151 |
+
"attribute_ruler",
|
| 152 |
+
"lemmatizer",
|
| 153 |
+
"ner"
|
| 154 |
+
],
|
| 155 |
+
"components":[
|
| 156 |
+
"transformer",
|
| 157 |
+
"tagger",
|
| 158 |
+
"parser",
|
| 159 |
+
"attribute_ruler",
|
| 160 |
+
"lemmatizer",
|
| 161 |
+
"ner"
|
| 162 |
+
],
|
| 163 |
+
"disabled":[
|
| 164 |
+
|
| 165 |
+
],
|
| 166 |
+
"performance":{
|
| 167 |
+
"token_acc":0.9993053983,
|
| 168 |
+
"tag_acc":0.9779597496,
|
| 169 |
+
"dep_uas":0.9529693229,
|
| 170 |
+
"dep_las":0.9394097615,
|
| 171 |
+
"ents_p":0.898632744,
|
| 172 |
+
"ents_r":0.8985877404,
|
| 173 |
+
"ents_f":0.8986102416,
|
| 174 |
+
"sents_p":0.9533882851,
|
| 175 |
+
"sents_r":0.8621940761,
|
| 176 |
+
"sents_f":0.9055009007,
|
| 177 |
+
"speed":5467.6411211076,
|
| 178 |
+
"dep_las_per_type":{
|
| 179 |
+
"prep":{
|
| 180 |
+
"p":0.9227131724,
|
| 181 |
+
"r":0.9254790362,
|
| 182 |
+
"f":0.9240940347
|
| 183 |
+
},
|
| 184 |
+
"det":{
|
| 185 |
+
"p":0.9901676798,
|
| 186 |
+
"r":0.9895620974,
|
| 187 |
+
"f":0.989864796
|
| 188 |
+
},
|
| 189 |
+
"pobj":{
|
| 190 |
+
"p":0.9827126617,
|
| 191 |
+
"r":0.9844492441,
|
| 192 |
+
"f":0.9835801864
|
| 193 |
+
},
|
| 194 |
+
"nsubj":{
|
| 195 |
+
"p":0.9797975371,
|
| 196 |
+
"r":0.9795399781,
|
| 197 |
+
"f":0.9796687407
|
| 198 |
+
},
|
| 199 |
+
"aux":{
|
| 200 |
+
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| 492 |
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| 493 |
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| 494 |
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| 495 |
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| 496 |
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| 497 |
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| 498 |
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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"
|
| 499 |
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},
|
| 500 |
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{
|
| 501 |
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| 502 |
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| 503 |
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| 504 |
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"author":"Emory University"
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| 505 |
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| 506 |
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{
|
| 507 |
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| 508 |
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| 509 |
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| 510 |
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| 511 |
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|
| 512 |
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|
| 513 |
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"name":"roberta-base",
|
| 514 |
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| 515 |
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| 516 |
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| 517 |
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|
| 518 |
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| 519 |
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| 520 |
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| 521 |
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|
| 522 |
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ner/cfg
ADDED
|
@@ -0,0 +1,13 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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"multitasks":[
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| 5 |
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| 6 |
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],
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| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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ner/model
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Binary file (314 kB). View file
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ner/moves
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parser/cfg
ADDED
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@@ -0,0 +1,13 @@
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|
| 1 |
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{
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| 3 |
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"update_with_oracle_cut_size":100,
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| 4 |
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"multitasks":[
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| 6 |
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],
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 13 |
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parser/model
ADDED
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Binary file (640 kB). View file
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parser/moves
ADDED
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@@ -0,0 +1,2 @@
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|
| 1 |
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��moves�
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| 2 |
+
{"0":{"":998775},"1":{"":991589},"2":{"det":172362,"nsubj":165533,"compound":116785,"amod":106476,"aux":87529,"punct":65947,"advmod":62668,"poss":36414,"mark":27883,"nummod":22585,"auxpass":15606,"prep":13980,"nsubjpass":13870,"neg":12358,"cc":10624,"nmod":9673,"advcl":9067,"npadvmod":8136,"intj":7304,"quantmod":7085,"ccomp":5903,"dep":4276,"dobj":3429,"expl":3360,"predet":1943,"parataxis":1820,"csubj":1431,"preconj":618,"pobj||prep":616,"attr":578,"meta":488,"advmod||conj":366,"dobj||xcomp":352,"acomp":286,"nsubj||ccomp":224,"dative":206,"advmod||xcomp":149,"dobj||ccomp":69,"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":184785,"pobj":182420,"prep":173757,"dobj":89733,"conj":59725,"cc":51786,"ccomp":30428,"advmod":22774,"xcomp":21051,"relcl":20972,"advcl":19826,"attr":17749,"acomp":16726,"appos":14981,"case":13368,"acl":12100,"pcomp":10370,"npadvmod":9727,"prt":8176,"dative":3867,"agent":3850,"nsubj":3471,"intj":3278,"amod":2850,"neg":2843,"nummod":2503,"oprd":2307,"dep":1634,"parataxis":1258,"nmod":339,"quantmod":317,"acl||dobj":202,"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,"acl||nsubjpass":42,"relcl||pobj":41,"mark":40,"auxpass":39,"prep||pobj":36,"relcl||nsubjpass":32,"appos||nsubjpass":32},"4":{"ROOT":110284}}�cfg��neg_key�
|
tagger/cfg
ADDED
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@@ -0,0 +1,53 @@
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| 1 |
+
{
|
| 2 |
+
"labels":[
|
| 3 |
+
"$",
|
| 4 |
+
"''",
|
| 5 |
+
",",
|
| 6 |
+
"-LRB-",
|
| 7 |
+
"-RRB-",
|
| 8 |
+
".",
|
| 9 |
+
":",
|
| 10 |
+
"ADD",
|
| 11 |
+
"AFX",
|
| 12 |
+
"CC",
|
| 13 |
+
"CD",
|
| 14 |
+
"DT",
|
| 15 |
+
"EX",
|
| 16 |
+
"FW",
|
| 17 |
+
"HYPH",
|
| 18 |
+
"IN",
|
| 19 |
+
"JJ",
|
| 20 |
+
"JJR",
|
| 21 |
+
"JJS",
|
| 22 |
+
"LS",
|
| 23 |
+
"MD",
|
| 24 |
+
"NFP",
|
| 25 |
+
"NN",
|
| 26 |
+
"NNP",
|
| 27 |
+
"NNPS",
|
| 28 |
+
"NNS",
|
| 29 |
+
"PDT",
|
| 30 |
+
"POS",
|
| 31 |
+
"PRP",
|
| 32 |
+
"PRP$",
|
| 33 |
+
"RB",
|
| 34 |
+
"RBR",
|
| 35 |
+
"RBS",
|
| 36 |
+
"RP",
|
| 37 |
+
"SYM",
|
| 38 |
+
"TO",
|
| 39 |
+
"UH",
|
| 40 |
+
"VB",
|
| 41 |
+
"VBD",
|
| 42 |
+
"VBG",
|
| 43 |
+
"VBN",
|
| 44 |
+
"VBP",
|
| 45 |
+
"VBZ",
|
| 46 |
+
"WDT",
|
| 47 |
+
"WP",
|
| 48 |
+
"WP$",
|
| 49 |
+
"WRB",
|
| 50 |
+
"XX",
|
| 51 |
+
"``"
|
| 52 |
+
]
|
| 53 |
+
}
|
tagger/model
ADDED
|
Binary file (151 kB). View file
|
tokenizer
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
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