Commit
•
f35dec9
1
Parent(s):
3dcb810
Update spaCy pipeline
Browse files- .gitattributes +5 -0
- LICENSE +19 -0
- LICENSES_SOURCES +66 -0
- README.md +103 -0
- accuracy.json +327 -0
- attribute_ruler/patterns +0 -0
- config.cfg +265 -0
- en_core_web_sm-any-py3-none-any.whl +3 -0
- lemmatizer/lookups/lookups.bin +3 -0
- meta.json +521 -0
- ner/cfg +13 -0
- ner/model +3 -0
- ner/moves +1 -0
- parser/cfg +13 -0
- parser/model +3 -0
- parser/moves +2 -0
- senter/cfg +3 -0
- senter/model +3 -0
- tagger/cfg +53 -0
- tagger/model +3 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +3 -0
- vocab/vectors +3 -0
.gitattributes
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*.pt filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.whl filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*strings.json filter=lfs diff=lfs merge=lfs -text
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vectors filter=lfs diff=lfs merge=lfs -text
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model 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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README.md
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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_sm
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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: 0.8424355924
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- name: NER Recall
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type: recall
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value: 0.8335336538
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- name: NER F Score
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type: f_score
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value: 0.8379609817
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS Accuracy
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type: accuracy
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value: 0.9720712187
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- task:
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name: SENTER
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type: token-classification
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metrics:
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- name: SENTER Precision
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type: precision
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value: 0.9074955788
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- name: SENTER Recall
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type: recall
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value: 0.8801372122
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- name: SENTER F Score
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type: f_score
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value: 0.893607046
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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 Dependencies Accuracy
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type: accuracy
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value: 0.9185392711
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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 Dependencies Accuracy
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type: accuracy
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value: 0.9185392711
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---
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### Details: https://spacy.io/models/en#en_core_web_sm
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English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_web_sm` |
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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** | `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** | 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) |
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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 (114 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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| **`senter`** | `I`, `S` |
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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` | 97.21 |
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| `DEP_UAS` | 91.85 |
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| `DEP_LAS` | 90.02 |
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| `ENTS_P` | 84.24 |
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| `ENTS_R` | 83.35 |
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| `ENTS_F` | 83.80 |
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| `SENTS_P` | 90.75 |
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| `SENTS_R` | 88.01 |
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| `SENTS_F` | 89.36 |
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accuracy.json
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+
"PERCENT": {
|
| 317 |
+
"p": 0.92,
|
| 318 |
+
"r": 0.8805513017,
|
| 319 |
+
"f": 0.8998435055
|
| 320 |
+
},
|
| 321 |
+
"LANGUAGE": {
|
| 322 |
+
"p": 0.7692307692,
|
| 323 |
+
"r": 0.625,
|
| 324 |
+
"f": 0.6896551724
|
| 325 |
+
}
|
| 326 |
+
}
|
| 327 |
+
}
|
attribute_ruler/patterns
ADDED
|
Binary file (16 kB). View file
|
|
|
config.cfg
ADDED
|
@@ -0,0 +1,265 @@
|
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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 = null
|
| 11 |
+
seed = 0
|
| 12 |
+
|
| 13 |
+
[nlp]
|
| 14 |
+
lang = "en"
|
| 15 |
+
pipeline = ["tok2vec","tagger","parser","senter","attribute_ruler","lemmatizer","ner"]
|
| 16 |
+
disabled = ["senter"]
|
| 17 |
+
before_creation = null
|
| 18 |
+
after_creation = null
|
| 19 |
+
after_pipeline_creation = null
|
| 20 |
+
batch_size = 256
|
| 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 = true
|
| 48 |
+
nO = null
|
| 49 |
+
|
| 50 |
+
[components.ner.model.tok2vec]
|
| 51 |
+
@architectures = "spacy.Tok2Vec.v2"
|
| 52 |
+
|
| 53 |
+
[components.ner.model.tok2vec.embed]
|
| 54 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
| 55 |
+
width = 96
|
| 56 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
| 57 |
+
rows = [5000,2500,2500,2500]
|
| 58 |
+
include_static_vectors = false
|
| 59 |
+
|
| 60 |
+
[components.ner.model.tok2vec.encode]
|
| 61 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
| 62 |
+
width = 96
|
| 63 |
+
depth = 4
|
| 64 |
+
window_size = 1
|
| 65 |
+
maxout_pieces = 3
|
| 66 |
+
|
| 67 |
+
[components.parser]
|
| 68 |
+
factory = "parser"
|
| 69 |
+
learn_tokens = false
|
| 70 |
+
min_action_freq = 30
|
| 71 |
+
moves = null
|
| 72 |
+
update_with_oracle_cut_size = 100
|
| 73 |
+
|
| 74 |
+
[components.parser.model]
|
| 75 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
| 76 |
+
state_type = "parser"
|
| 77 |
+
extra_state_tokens = false
|
| 78 |
+
hidden_width = 64
|
| 79 |
+
maxout_pieces = 2
|
| 80 |
+
use_upper = true
|
| 81 |
+
nO = null
|
| 82 |
+
|
| 83 |
+
[components.parser.model.tok2vec]
|
| 84 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
| 85 |
+
width = ${components.tok2vec.model.encode:width}
|
| 86 |
+
upstream = "tok2vec"
|
| 87 |
+
|
| 88 |
+
[components.senter]
|
| 89 |
+
factory = "senter"
|
| 90 |
+
|
| 91 |
+
[components.senter.model]
|
| 92 |
+
@architectures = "spacy.Tagger.v1"
|
| 93 |
+
nO = null
|
| 94 |
+
|
| 95 |
+
[components.senter.model.tok2vec]
|
| 96 |
+
@architectures = "spacy.Tok2Vec.v2"
|
| 97 |
+
|
| 98 |
+
[components.senter.model.tok2vec.embed]
|
| 99 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
| 100 |
+
width = 16
|
| 101 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
| 102 |
+
rows = [1000,500,500,500]
|
| 103 |
+
include_static_vectors = false
|
| 104 |
+
|
| 105 |
+
[components.senter.model.tok2vec.encode]
|
| 106 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
| 107 |
+
width = 16
|
| 108 |
+
depth = 2
|
| 109 |
+
window_size = 1
|
| 110 |
+
maxout_pieces = 2
|
| 111 |
+
|
| 112 |
+
[components.tagger]
|
| 113 |
+
factory = "tagger"
|
| 114 |
+
|
| 115 |
+
[components.tagger.model]
|
| 116 |
+
@architectures = "spacy.Tagger.v1"
|
| 117 |
+
nO = null
|
| 118 |
+
|
| 119 |
+
[components.tagger.model.tok2vec]
|
| 120 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
| 121 |
+
width = ${components.tok2vec.model.encode:width}
|
| 122 |
+
upstream = "tok2vec"
|
| 123 |
+
|
| 124 |
+
[components.tok2vec]
|
| 125 |
+
factory = "tok2vec"
|
| 126 |
+
|
| 127 |
+
[components.tok2vec.model]
|
| 128 |
+
@architectures = "spacy.Tok2Vec.v2"
|
| 129 |
+
|
| 130 |
+
[components.tok2vec.model.embed]
|
| 131 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
| 132 |
+
width = ${components.tok2vec.model.encode:width}
|
| 133 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
| 134 |
+
rows = [5000,2500,2500,2500]
|
| 135 |
+
include_static_vectors = false
|
| 136 |
+
|
| 137 |
+
[components.tok2vec.model.encode]
|
| 138 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
| 139 |
+
width = 96
|
| 140 |
+
depth = 4
|
| 141 |
+
window_size = 1
|
| 142 |
+
maxout_pieces = 3
|
| 143 |
+
|
| 144 |
+
[corpora]
|
| 145 |
+
|
| 146 |
+
[corpora.dev]
|
| 147 |
+
@readers = "spacy.Corpus.v1"
|
| 148 |
+
limit = 0
|
| 149 |
+
max_length = 0
|
| 150 |
+
path = ${paths:dev}
|
| 151 |
+
gold_preproc = false
|
| 152 |
+
augmenter = null
|
| 153 |
+
|
| 154 |
+
[corpora.train]
|
| 155 |
+
@readers = "spacy.Corpus.v1"
|
| 156 |
+
path = ${paths:train}
|
| 157 |
+
max_length = 5000
|
| 158 |
+
gold_preproc = false
|
| 159 |
+
limit = 0
|
| 160 |
+
|
| 161 |
+
[corpora.train.augmenter]
|
| 162 |
+
@augmenters = "spacy.orth_variants.v1"
|
| 163 |
+
level = 0.2
|
| 164 |
+
lower = 0.5
|
| 165 |
+
|
| 166 |
+
[corpora.train.augmenter.orth_variants]
|
| 167 |
+
@readers = "srsly.read_json.v1"
|
| 168 |
+
path = "assets/orth_variants.json"
|
| 169 |
+
|
| 170 |
+
[training]
|
| 171 |
+
train_corpus = "corpora.train"
|
| 172 |
+
dev_corpus = "corpora.dev"
|
| 173 |
+
seed = ${system:seed}
|
| 174 |
+
gpu_allocator = ${system:gpu_allocator}
|
| 175 |
+
dropout = 0.1
|
| 176 |
+
accumulate_gradient = 1
|
| 177 |
+
patience = 5000
|
| 178 |
+
max_epochs = 0
|
| 179 |
+
max_steps = 0
|
| 180 |
+
eval_frequency = 1000
|
| 181 |
+
frozen_components = []
|
| 182 |
+
before_to_disk = null
|
| 183 |
+
annotating_components = []
|
| 184 |
+
|
| 185 |
+
[training.batcher]
|
| 186 |
+
@batchers = "spacy.batch_by_words.v1"
|
| 187 |
+
discard_oversize = false
|
| 188 |
+
tolerance = 0.2
|
| 189 |
+
get_length = null
|
| 190 |
+
|
| 191 |
+
[training.batcher.size]
|
| 192 |
+
@schedules = "compounding.v1"
|
| 193 |
+
start = 100
|
| 194 |
+
stop = 1000
|
| 195 |
+
compound = 1.001
|
| 196 |
+
t = 0.0
|
| 197 |
+
|
| 198 |
+
[training.logger]
|
| 199 |
+
@loggers = "spacy.WandbLogger.v1"
|
| 200 |
+
project_name = "spacy-v3.0.0a2"
|
| 201 |
+
remove_config_values = []
|
| 202 |
+
|
| 203 |
+
[training.optimizer]
|
| 204 |
+
@optimizers = "Adam.v1"
|
| 205 |
+
beta1 = 0.9
|
| 206 |
+
beta2 = 0.999
|
| 207 |
+
L2_is_weight_decay = true
|
| 208 |
+
L2 = 0.01
|
| 209 |
+
grad_clip = 1.0
|
| 210 |
+
use_averages = true
|
| 211 |
+
eps = 0.00000001
|
| 212 |
+
learn_rate = 0.001
|
| 213 |
+
|
| 214 |
+
[training.score_weights]
|
| 215 |
+
tag_acc = 0.16
|
| 216 |
+
dep_uas = 0.0
|
| 217 |
+
dep_las = 0.16
|
| 218 |
+
dep_las_per_type = null
|
| 219 |
+
sents_p = null
|
| 220 |
+
sents_r = null
|
| 221 |
+
sents_f = 0.02
|
| 222 |
+
lemma_acc = 0.33
|
| 223 |
+
ents_f = 0.33
|
| 224 |
+
ents_p = 0.0
|
| 225 |
+
ents_r = 0.0
|
| 226 |
+
ents_per_type = null
|
| 227 |
+
|
| 228 |
+
[pretraining]
|
| 229 |
+
|
| 230 |
+
[initialize]
|
| 231 |
+
vocab_data = ${paths.vocab_data}
|
| 232 |
+
vectors = ${paths.vectors}
|
| 233 |
+
init_tok2vec = ${paths.init_tok2vec}
|
| 234 |
+
before_init = null
|
| 235 |
+
after_init = null
|
| 236 |
+
|
| 237 |
+
[initialize.components]
|
| 238 |
+
|
| 239 |
+
[initialize.components.ner]
|
| 240 |
+
|
| 241 |
+
[initialize.components.ner.labels]
|
| 242 |
+
@readers = "spacy.read_labels.v1"
|
| 243 |
+
path = "corpus/labels/ner.json"
|
| 244 |
+
require = false
|
| 245 |
+
|
| 246 |
+
[initialize.components.parser]
|
| 247 |
+
|
| 248 |
+
[initialize.components.parser.labels]
|
| 249 |
+
@readers = "spacy.read_labels.v1"
|
| 250 |
+
path = "corpus/labels/parser.json"
|
| 251 |
+
require = false
|
| 252 |
+
|
| 253 |
+
[initialize.components.tagger]
|
| 254 |
+
|
| 255 |
+
[initialize.components.tagger.labels]
|
| 256 |
+
@readers = "spacy.read_labels.v1"
|
| 257 |
+
path = "corpus/labels/tagger.json"
|
| 258 |
+
require = false
|
| 259 |
+
|
| 260 |
+
[initialize.lookups]
|
| 261 |
+
@misc = "spacy.LookupsDataLoader.v1"
|
| 262 |
+
lang = ${nlp.lang}
|
| 263 |
+
tables = ["lexeme_norm"]
|
| 264 |
+
|
| 265 |
+
[initialize.tokenizer]
|
en_core_web_sm-any-py3-none-any.whl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82bc8de1e7fa6609f0ff481af519c18291d0204044580df0813461608ae2d00c
|
| 3 |
+
size 13622633
|
lemmatizer/lookups/lookups.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb64f40c0f8396d1762730c0ddf4dad2a52d138f5a389f71a1a1d088173b7737
|
| 3 |
+
size 972893
|
meta.json
ADDED
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@@ -0,0 +1,521 @@
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|
| 1 |
+
{
|
| 2 |
+
"lang":"en",
|
| 3 |
+
"name":"core_web_sm",
|
| 4 |
+
"version":"3.1.0",
|
| 5 |
+
"description":"English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
|
| 6 |
+
"author":"Explosion",
|
| 7 |
+
"email":"contact@explosion.ai",
|
| 8 |
+
"url":"https://explosion.ai",
|
| 9 |
+
"license":"MIT",
|
| 10 |
+
"spacy_version":">=3.1.0,<3.2.0",
|
| 11 |
+
"spacy_git_version":"caba63b74",
|
| 12 |
+
"vectors":{
|
| 13 |
+
"width":0,
|
| 14 |
+
"vectors":0,
|
| 15 |
+
"keys":0,
|
| 16 |
+
"name":null
|
| 17 |
+
},
|
| 18 |
+
"labels":{
|
| 19 |
+
"tok2vec":[
|
| 20 |
+
|
| 21 |
+
],
|
| 22 |
+
"tagger":[
|
| 23 |
+
"$",
|
| 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 |
+
"senter":[
|
| 121 |
+
"I",
|
| 122 |
+
"S"
|
| 123 |
+
],
|
| 124 |
+
"attribute_ruler":[
|
| 125 |
+
|
| 126 |
+
],
|
| 127 |
+
"lemmatizer":[
|
| 128 |
+
|
| 129 |
+
],
|
| 130 |
+
"ner":[
|
| 131 |
+
"CARDINAL",
|
| 132 |
+
"DATE",
|
| 133 |
+
"EVENT",
|
| 134 |
+
"FAC",
|
| 135 |
+
"GPE",
|
| 136 |
+
"LANGUAGE",
|
| 137 |
+
"LAW",
|
| 138 |
+
"LOC",
|
| 139 |
+
"MONEY",
|
| 140 |
+
"NORP",
|
| 141 |
+
"ORDINAL",
|
| 142 |
+
"ORG",
|
| 143 |
+
"PERCENT",
|
| 144 |
+
"PERSON",
|
| 145 |
+
"PRODUCT",
|
| 146 |
+
"QUANTITY",
|
| 147 |
+
"TIME",
|
| 148 |
+
"WORK_OF_ART"
|
| 149 |
+
]
|
| 150 |
+
},
|
| 151 |
+
"pipeline":[
|
| 152 |
+
"tok2vec",
|
| 153 |
+
"tagger",
|
| 154 |
+
"parser",
|
| 155 |
+
"attribute_ruler",
|
| 156 |
+
"lemmatizer",
|
| 157 |
+
"ner"
|
| 158 |
+
],
|
| 159 |
+
"components":[
|
| 160 |
+
"tok2vec",
|
| 161 |
+
"tagger",
|
| 162 |
+
"parser",
|
| 163 |
+
"senter",
|
| 164 |
+
"attribute_ruler",
|
| 165 |
+
"lemmatizer",
|
| 166 |
+
"ner"
|
| 167 |
+
],
|
| 168 |
+
"disabled":[
|
| 169 |
+
"senter"
|
| 170 |
+
],
|
| 171 |
+
"performance":{
|
| 172 |
+
"token_acc":0.9993053983,
|
| 173 |
+
"tag_acc":0.9720712187,
|
| 174 |
+
"dep_uas":0.9185392711,
|
| 175 |
+
"dep_las":0.9001546872,
|
| 176 |
+
"ents_p":0.8424355924,
|
| 177 |
+
"ents_r":0.8335336538,
|
| 178 |
+
"ents_f":0.8379609817,
|
| 179 |
+
"sents_p":0.9074955788,
|
| 180 |
+
"sents_r":0.8801372122,
|
| 181 |
+
"sents_f":0.893607046,
|
| 182 |
+
"speed":10426.0619939972,
|
| 183 |
+
"dep_las_per_type":{
|
| 184 |
+
"prep":{
|
| 185 |
+
"p":0.8554402587,
|
| 186 |
+
"r":0.8633276418,
|
| 187 |
+
"f":0.8593658527
|
| 188 |
+
},
|
| 189 |
+
"det":{
|
| 190 |
+
"p":0.9772329247,
|
| 191 |
+
"r":0.9783087336,
|
| 192 |
+
"f":0.9777705332
|
| 193 |
+
},
|
| 194 |
+
"pobj":{
|
| 195 |
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| 495 |
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| 496 |
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| 497 |
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| 498 |
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| 499 |
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{
|
| 500 |
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| 501 |
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| 502 |
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"license":"commercial (licensed by Explosion)",
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| 503 |
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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"
|
| 504 |
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},
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| 505 |
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{
|
| 506 |
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"name":"ClearNLP Constituent-to-Dependency Conversion",
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| 507 |
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"url":"https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md",
|
| 508 |
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"license":"Citation provided for reference, no code packaged with model",
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| 509 |
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"author":"Emory University"
|
| 510 |
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|
| 511 |
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{
|
| 512 |
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"name":"WordNet 3.0",
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| 513 |
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| 514 |
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"author":"Princeton University",
|
| 515 |
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| 516 |
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|
| 517 |
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],
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| 518 |
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|
| 519 |
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| 520 |
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|
| 521 |
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|
ner/cfg
ADDED
|
@@ -0,0 +1,13 @@
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|
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|
|
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|
|
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|
|
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|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"moves":null,
|
| 3 |
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"update_with_oracle_cut_size":100,
|
| 4 |
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"multitasks":[
|
| 5 |
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|
| 6 |
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],
|
| 7 |
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"min_action_freq":1,
|
| 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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ner/model
ADDED
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@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:20b7d17b21c63fcef7ae4c3c3fb96dd7303d9c1af7679730c17526188b556952
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| 3 |
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size 6730601
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ner/moves
ADDED
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@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
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parser/cfg
ADDED
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@@ -0,0 +1,13 @@
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|
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|
|
| 1 |
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{
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| 2 |
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"moves":null,
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| 3 |
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"update_with_oracle_cut_size":100,
|
| 4 |
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"multitasks":[
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| 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,
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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}
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parser/model
ADDED
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@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:86de5c9df77f4e1b7f943a9bbe03597f247958f1c9d6cb4c2319028b855e4b8f
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size 319909
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parser/moves
ADDED
|
@@ -0,0 +1,2 @@
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|
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|
|
| 1 |
+
��moves�
|
| 2 |
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{"0":{"":995932},"1":{"":989662},"2":{"det":172430,"nsubj":165679,"compound":116803,"amod":106128,"aux":87078,"punct":65505,"advmod":62711,"poss":36427,"mark":27913,"nummod":22583,"auxpass":15597,"prep":13989,"nsubjpass":13867,"neg":12358,"cc":10694,"nmod":9572,"advcl":9063,"npadvmod":8135,"quantmod":7071,"intj":6557,"ccomp":5899,"dobj":3427,"expl":3360,"dep":3191,"predet":1945,"parataxis":1826,"csubj":1431,"preconj":620,"pobj||prep":615,"attr":578,"meta":448,"advmod||conj":367,"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":183437,"pobj":182256,"prep":173845,"dobj":89650,"conj":59689,"cc":51858,"ccomp":30404,"advmod":22820,"xcomp":21045,"relcl":20968,"advcl":19833,"attr":17739,"acomp":16824,"appos":14963,"case":13361,"acl":12091,"pcomp":10345,"npadvmod":9702,"prt":8179,"agent":3884,"dative":3867,"nsubj":3465,"intj":2898,"neg":2871,"amod":2843,"nummod":2510,"oprd":2304,"dep":1518,"parataxis":1261,"quantmod":317,"nmod":296,"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":93,"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":31},"4":{"ROOT":110979}}�cfg��neg_key�
|
senter/cfg
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
|
| 3 |
+
}
|
senter/model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b08f7b005a60e60a5ef7bfccf7688a43b827589b25bb00870a579b3b4fb3e448
|
| 3 |
+
size 190395
|
tagger/cfg
ADDED
|
@@ -0,0 +1,53 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e44dee97269622028054bed3a2afe95fe262a4c0a29d03cd27bb97132e789c5
|
| 3 |
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size 19389
|
tok2vec/cfg
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
|
| 3 |
+
}
|
tok2vec/model
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:c3d5333dfc0da3b6a1732d4f797d937fbf44b971d9145572d1b295cfa8d52e26
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| 3 |
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size 6585091
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tokenizer
ADDED
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@@ -0,0 +1,3 @@
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|
| 1 |
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