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- base/en_core_web_lg/__init__.py +10 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/LICENSE +19 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/LICENSES_SOURCES +102 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/README.md +47 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/accuracy.json +330 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/attribute_ruler/patterns +0 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/config.cfg +269 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/lemmatizer/lookups/lookups.bin +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/meta.json +527 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/ner/cfg +13 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/ner/model +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/ner/moves +1 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/parser/cfg +13 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/parser/model +0 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/parser/moves +1 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/senter/cfg +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/senter/model +0 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/tagger/cfg +57 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/tagger/model +0 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/tok2vec/cfg +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/tok2vec/model +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/tokenizer +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/vocab/key2row +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/vocab/lookups.bin +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/vocab/strings.json +0 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/vocab/vectors +3 -0
- base/en_core_web_lg/en_core_web_lg-3.7.1/vocab/vectors.cfg +3 -0
- base/en_core_web_lg/meta.json +527 -0
.gitattributes
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@@ -33,3 +33,7 @@ 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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*.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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base/en_core_web_lg/en_core_web_lg-3.7.1/ner/model filter=lfs diff=lfs merge=lfs -text
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base/en_core_web_lg/en_core_web_lg-3.7.1/tok2vec/model filter=lfs diff=lfs merge=lfs -text
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base/en_core_web_lg/en_core_web_lg-3.7.1/vocab/key2row filter=lfs diff=lfs merge=lfs -text
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base/en_core_web_lg/en_core_web_lg-3.7.1/vocab/vectors filter=lfs diff=lfs merge=lfs -text
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base/en_core_web_lg/__init__.py
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from pathlib import Path
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from spacy.util import load_model_from_init_py, get_model_meta
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__version__ = get_model_meta(Path(__file__).parent)['version']
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def load(**overrides):
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return load_model_from_init_py(__file__, **overrides)
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base/en_core_web_lg/en_core_web_lg-3.7.1/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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base/en_core_web_lg/en_core_web_lg-3.7.1/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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# Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)
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* Author: Explosion
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* URL: https://github.com/explosion/spacy-vectors-builder
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* License: CC0
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```
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The laws of most jurisdictions throughout the world automatically confer exclusive Copyright and Related Rights (defined below) upon the creator and subsequent owner(s) (each and all, an "owner") of an original work of authorship and/or a database (each, a "Work").
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Certain owners wish to permanently relinquish those rights to a Work for the purpose of contributing to a commons of creative, cultural and scientific works ("Commons") that the public can reliably and without fear of later claims of infringement build upon, modify, incorporate in other works, reuse and redistribute as freely as possible in any form whatsoever and for any purposes, including without limitation commercial purposes. These owners may contribute to the Commons to promote the ideal of a free culture and the further production of creative, cultural and scientific works, or to gain reputation or greater distribution for their Work in part through the use and efforts of others.
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For these and/or other purposes and motivations, and without any expectation of additional consideration or compensation, the person associating CC0 with a Work (the "Affirmer"), to the extent that he or she is an owner of Copyright and Related Rights in the Work, voluntarily elects to apply CC0 to the Work and publicly distribute the Work under its terms, with knowledge of his or her Copyright and Related Rights in the Work and the meaning and intended legal effect of CC0 on those rights.
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1. Copyright and Related Rights. A Work made available under CC0 may be protected by copyright and related or neighboring rights ("Copyright and Related Rights"). Copyright and Related Rights include, but are not limited to, the following:
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3. Public License Fallback. Should any part of the Waiver for any reason be judged legally invalid or ineffective under applicable law, then the Waiver shall be preserved to the maximum extent permitted taking into account Affirmer's express Statement of Purpose. In addition, to the extent the Waiver is so judged Affirmer hereby grants to each affected person a royalty-free, non transferable, non sublicensable, non exclusive, irrevocable and unconditional license to exercise Affirmer's Copyright and Related Rights in the Work (i) in all territories worldwide, (ii) for the maximum duration provided by applicable law or treaty (including future time extensions), (iii) in any current or future medium and for any number of copies, and (iv) for any purpose whatsoever, including without limitation commercial, advertising or promotional purposes (the "License"). The License shall be deemed effective as of the date CC0 was applied by Affirmer to the Work. Should any part of the License for any reason be judged legally invalid or ineffective under applicable law, such partial invalidity or ineffectiveness shall not invalidate the remainder of the License, and in such case Affirmer hereby affirms that he or she will not (i) exercise any of his or her remaining Copyright and Related Rights in the Work or (ii) assert any associated claims and causes of action with respect to the Work, in either case contrary to Affirmer's express Statement of Purpose.
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4. Limitations and Disclaimers.
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No trademark or patent rights held by Affirmer are waived, abandoned, surrendered, licensed or otherwise affected by this document.
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Affirmer offers the Work as-is and makes no representations or warranties of any kind concerning the Work, express, implied, statutory or otherwise, including without limitation warranties of title, merchantability, fitness for a particular purpose, non infringement, or the absence of latent or other defects, accuracy, or the present or absence of errors, whether or not discoverable, all to the greatest extent permissible under applicable law.
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Affirmer disclaims responsibility for clearing rights of other persons that may apply to the Work or any use thereof, including without limitation any person's Copyright and Related Rights in the Work. Further, Affirmer disclaims responsibility for obtaining any necessary consents, permissions or other rights required for any use of the Work.
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Affirmer understands and acknowledges that Creative Commons is not a party to this document and has no duty or obligation with respect to this CC0 or use of the Work.```
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base/en_core_web_lg/en_core_web_lg-3.7.1/README.md
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### Details: https://spacy.io/models/en#en_core_web_lg
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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_lg` |
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| **Version** | `3.7.1` |
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| **spaCy** | `>=3.7.2,<3.8.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
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| **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br />[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br />[Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)](https://github.com/explosion/spacy-vectors-builder) (Explosion) |
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| **License** | `MIT` |
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| **Author** | [Explosion](https://explosion.ai) |
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### Label Scheme
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<details>
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<summary>View label scheme (113 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`, `_SP`, ```` |
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| 26 |
+
| **`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` |
|
| 27 |
+
| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
|
| 28 |
+
|
| 29 |
+
</details>
|
| 30 |
+
|
| 31 |
+
### Accuracy
|
| 32 |
+
|
| 33 |
+
| Type | Score |
|
| 34 |
+
| --- | --- |
|
| 35 |
+
| `TOKEN_ACC` | 99.86 |
|
| 36 |
+
| `TOKEN_P` | 99.57 |
|
| 37 |
+
| `TOKEN_R` | 99.58 |
|
| 38 |
+
| `TOKEN_F` | 99.57 |
|
| 39 |
+
| `TAG_ACC` | 97.35 |
|
| 40 |
+
| `SENTS_P` | 92.19 |
|
| 41 |
+
| `SENTS_R` | 89.27 |
|
| 42 |
+
| `SENTS_F` | 90.71 |
|
| 43 |
+
| `DEP_UAS` | 92.08 |
|
| 44 |
+
| `DEP_LAS` | 90.27 |
|
| 45 |
+
| `ENTS_P` | 85.16 |
|
| 46 |
+
| `ENTS_R` | 85.70 |
|
| 47 |
+
| `ENTS_F` | 85.43 |
|
base/en_core_web_lg/en_core_web_lg-3.7.1/accuracy.json
ADDED
|
@@ -0,0 +1,330 @@
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|
| 1 |
+
{
|
| 2 |
+
"token_acc": 0.9986194413,
|
| 3 |
+
"token_p": 0.9956819193,
|
| 4 |
+
"token_r": 0.9957659295,
|
| 5 |
+
"token_f": 0.9957239226,
|
| 6 |
+
"tag_acc": 0.9734810915,
|
| 7 |
+
"sents_p": 0.9219292867,
|
| 8 |
+
"sents_r": 0.8927369879,
|
| 9 |
+
"sents_f": 0.907098331,
|
| 10 |
+
"dep_uas": 0.9208198801,
|
| 11 |
+
"dep_las": 0.9027174273,
|
| 12 |
+
"dep_las_per_type": {
|
| 13 |
+
"prep": {
|
| 14 |
+
"p": 0.8601948321,
|
| 15 |
+
"r": 0.8677670271,
|
| 16 |
+
"f": 0.8639643383
|
| 17 |
+
},
|
| 18 |
+
"det": {
|
| 19 |
+
"p": 0.9792625789,
|
| 20 |
+
"r": 0.980021202,
|
| 21 |
+
"f": 0.9796417436
|
| 22 |
+
},
|
| 23 |
+
"pobj": {
|
| 24 |
+
"p": 0.9637052664,
|
| 25 |
+
"r": 0.9686628706,
|
| 26 |
+
"f": 0.966177709
|
| 27 |
+
},
|
| 28 |
+
"nsubj": {
|
| 29 |
+
"p": 0.9559814937,
|
| 30 |
+
"r": 0.9505366922,
|
| 31 |
+
"f": 0.9532513181
|
| 32 |
+
},
|
| 33 |
+
"aux": {
|
| 34 |
+
"p": 0.9805627052,
|
| 35 |
+
"r": 0.9835306686,
|
| 36 |
+
"f": 0.9820444444
|
| 37 |
+
},
|
| 38 |
+
"advmod": {
|
| 39 |
+
"p": 0.8575647625,
|
| 40 |
+
"r": 0.8550395423,
|
| 41 |
+
"f": 0.8563002907
|
| 42 |
+
},
|
| 43 |
+
"relcl": {
|
| 44 |
+
"p": 0.7582954942,
|
| 45 |
+
"r": 0.7877358491,
|
| 46 |
+
"f": 0.7727353622
|
| 47 |
+
},
|
| 48 |
+
"root": {
|
| 49 |
+
"p": 0.9225318526,
|
| 50 |
+
"r": 0.8931987598,
|
| 51 |
+
"f": 0.9076283684
|
| 52 |
+
},
|
| 53 |
+
"xcomp": {
|
| 54 |
+
"p": 0.8885734564,
|
| 55 |
+
"r": 0.8987796123,
|
| 56 |
+
"f": 0.8936473947
|
| 57 |
+
},
|
| 58 |
+
"amod": {
|
| 59 |
+
"p": 0.9205863192,
|
| 60 |
+
"r": 0.9155166829,
|
| 61 |
+
"f": 0.9180445022
|
| 62 |
+
},
|
| 63 |
+
"compound": {
|
| 64 |
+
"p": 0.9182062387,
|
| 65 |
+
"r": 0.9327801292,
|
| 66 |
+
"f": 0.9254358096
|
| 67 |
+
},
|
| 68 |
+
"poss": {
|
| 69 |
+
"p": 0.9745235707,
|
| 70 |
+
"r": 0.9778582931,
|
| 71 |
+
"f": 0.976188084
|
| 72 |
+
},
|
| 73 |
+
"ccomp": {
|
| 74 |
+
"p": 0.779082774,
|
| 75 |
+
"r": 0.8511201629,
|
| 76 |
+
"f": 0.8135098306
|
| 77 |
+
},
|
| 78 |
+
"attr": {
|
| 79 |
+
"p": 0.9063777596,
|
| 80 |
+
"r": 0.9322960471,
|
| 81 |
+
"f": 0.9191542289
|
| 82 |
+
},
|
| 83 |
+
"case": {
|
| 84 |
+
"p": 0.9806835067,
|
| 85 |
+
"r": 0.990990991,
|
| 86 |
+
"f": 0.9858103062
|
| 87 |
+
},
|
| 88 |
+
"mark": {
|
| 89 |
+
"p": 0.9073055774,
|
| 90 |
+
"r": 0.9181240064,
|
| 91 |
+
"f": 0.9126827341
|
| 92 |
+
},
|
| 93 |
+
"intj": {
|
| 94 |
+
"p": 0.6783762685,
|
| 95 |
+
"r": 0.6366300366,
|
| 96 |
+
"f": 0.656840514
|
| 97 |
+
},
|
| 98 |
+
"advcl": {
|
| 99 |
+
"p": 0.6740684022,
|
| 100 |
+
"r": 0.6650717703,
|
| 101 |
+
"f": 0.6695398656
|
| 102 |
+
},
|
| 103 |
+
"cc": {
|
| 104 |
+
"p": 0.8397405094,
|
| 105 |
+
"r": 0.836024399,
|
| 106 |
+
"f": 0.8378783338
|
| 107 |
+
},
|
| 108 |
+
"neg": {
|
| 109 |
+
"p": 0.9455272364,
|
| 110 |
+
"r": 0.9493226292,
|
| 111 |
+
"f": 0.9474211317
|
| 112 |
+
},
|
| 113 |
+
"conj": {
|
| 114 |
+
"p": 0.7754289978,
|
| 115 |
+
"r": 0.7849949648,
|
| 116 |
+
"f": 0.7801826598
|
| 117 |
+
},
|
| 118 |
+
"nsubjpass": {
|
| 119 |
+
"p": 0.9282744283,
|
| 120 |
+
"r": 0.9158974359,
|
| 121 |
+
"f": 0.9220443986
|
| 122 |
+
},
|
| 123 |
+
"auxpass": {
|
| 124 |
+
"p": 0.9508709245,
|
| 125 |
+
"r": 0.9699316629,
|
| 126 |
+
"f": 0.9603067208
|
| 127 |
+
},
|
| 128 |
+
"dobj": {
|
| 129 |
+
"p": 0.9274010192,
|
| 130 |
+
"r": 0.9426249104,
|
| 131 |
+
"f": 0.9349509959
|
| 132 |
+
},
|
| 133 |
+
"nummod": {
|
| 134 |
+
"p": 0.9397865854,
|
| 135 |
+
"r": 0.9340909091,
|
| 136 |
+
"f": 0.9369300912
|
| 137 |
+
},
|
| 138 |
+
"npadvmod": {
|
| 139 |
+
"p": 0.7832009081,
|
| 140 |
+
"r": 0.7353463588,
|
| 141 |
+
"f": 0.7585196043
|
| 142 |
+
},
|
| 143 |
+
"prt": {
|
| 144 |
+
"p": 0.8146622735,
|
| 145 |
+
"r": 0.8862007168,
|
| 146 |
+
"f": 0.8489270386
|
| 147 |
+
},
|
| 148 |
+
"pcomp": {
|
| 149 |
+
"p": 0.8859957776,
|
| 150 |
+
"r": 0.8816526611,
|
| 151 |
+
"f": 0.8838188838
|
| 152 |
+
},
|
| 153 |
+
"expl": {
|
| 154 |
+
"p": 0.9808917197,
|
| 155 |
+
"r": 0.9892933619,
|
| 156 |
+
"f": 0.9850746269
|
| 157 |
+
},
|
| 158 |
+
"acl": {
|
| 159 |
+
"p": 0.7584170112,
|
| 160 |
+
"r": 0.7004909984,
|
| 161 |
+
"f": 0.7283040272
|
| 162 |
+
},
|
| 163 |
+
"agent": {
|
| 164 |
+
"p": 0.9045996593,
|
| 165 |
+
"r": 0.9516129032,
|
| 166 |
+
"f": 0.927510917
|
| 167 |
+
},
|
| 168 |
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"dative": {
|
| 169 |
+
"p": 0.7577319588,
|
| 170 |
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"r": 0.6743119266,
|
| 171 |
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"f": 0.713592233
|
| 172 |
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},
|
| 173 |
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"acomp": {
|
| 174 |
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"p": 0.9089655172,
|
| 175 |
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"r": 0.8965986395,
|
| 176 |
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"f": 0.902739726
|
| 177 |
+
},
|
| 178 |
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"dep": {
|
| 179 |
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"p": 0.3837638376,
|
| 180 |
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"r": 0.1688311688,
|
| 181 |
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"f": 0.2344983089
|
| 182 |
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},
|
| 183 |
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"csubj": {
|
| 184 |
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"p": 0.7043010753,
|
| 185 |
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"r": 0.775147929,
|
| 186 |
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"f": 0.738028169
|
| 187 |
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},
|
| 188 |
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"quantmod": {
|
| 189 |
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"p": 0.8682101514,
|
| 190 |
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"r": 0.7920389927,
|
| 191 |
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"f": 0.8283772302
|
| 192 |
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},
|
| 193 |
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"nmod": {
|
| 194 |
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"p": 0.7549407115,
|
| 195 |
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"r": 0.5819622182,
|
| 196 |
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"f": 0.6572608396
|
| 197 |
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},
|
| 198 |
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"appos": {
|
| 199 |
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"p": 0.6977283264,
|
| 200 |
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"r": 0.6529284165,
|
| 201 |
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"f": 0.6745853877
|
| 202 |
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},
|
| 203 |
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"predet": {
|
| 204 |
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"p": 0.8467741935,
|
| 205 |
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"r": 0.9012875536,
|
| 206 |
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"f": 0.8731808732
|
| 207 |
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},
|
| 208 |
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"preconj": {
|
| 209 |
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"p": 0.5462962963,
|
| 210 |
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"r": 0.6860465116,
|
| 211 |
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"f": 0.6082474227
|
| 212 |
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},
|
| 213 |
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"oprd": {
|
| 214 |
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"p": 0.8321678322,
|
| 215 |
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"r": 0.7104477612,
|
| 216 |
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"f": 0.7665056361
|
| 217 |
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},
|
| 218 |
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"parataxis": {
|
| 219 |
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"p": 0.6071428571,
|
| 220 |
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"r": 0.4793926247,
|
| 221 |
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"f": 0.5357575758
|
| 222 |
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},
|
| 223 |
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"meta": {
|
| 224 |
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"p": 0.7428571429,
|
| 225 |
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"r": 0.5,
|
| 226 |
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"f": 0.5977011494
|
| 227 |
+
},
|
| 228 |
+
"csubjpass": {
|
| 229 |
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"p": 0.3846153846,
|
| 230 |
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"r": 0.8333333333,
|
| 231 |
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"f": 0.5263157895
|
| 232 |
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}
|
| 233 |
+
},
|
| 234 |
+
"ents_p": 0.8516398746,
|
| 235 |
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"ents_r": 0.8569711538,
|
| 236 |
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"ents_f": 0.8542971968,
|
| 237 |
+
"ents_per_type": {
|
| 238 |
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"DATE": {
|
| 239 |
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"p": 0.8649149923,
|
| 240 |
+
"r": 0.8882539683,
|
| 241 |
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"f": 0.8764291308
|
| 242 |
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},
|
| 243 |
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"GPE": {
|
| 244 |
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"p": 0.9244532803,
|
| 245 |
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"r": 0.9079497908,
|
| 246 |
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"f": 0.9161272164
|
| 247 |
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},
|
| 248 |
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"ORDINAL": {
|
| 249 |
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"p": 0.7805555556,
|
| 250 |
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"r": 0.8726708075,
|
| 251 |
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"f": 0.8240469208
|
| 252 |
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},
|
| 253 |
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"ORG": {
|
| 254 |
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"p": 0.8132576735,
|
| 255 |
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"r": 0.8358960764,
|
| 256 |
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"f": 0.824421493
|
| 257 |
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},
|
| 258 |
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"QUANTITY": {
|
| 259 |
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"p": 0.8066666667,
|
| 260 |
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"r": 0.6648351648,
|
| 261 |
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"f": 0.7289156627
|
| 262 |
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},
|
| 263 |
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"PERSON": {
|
| 264 |
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"p": 0.8767166042,
|
| 265 |
+
"r": 0.9167754569,
|
| 266 |
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"f": 0.8962986599
|
| 267 |
+
},
|
| 268 |
+
"NORP": {
|
| 269 |
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"p": 0.9072164948,
|
| 270 |
+
"r": 0.9152,
|
| 271 |
+
"f": 0.9111907607
|
| 272 |
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},
|
| 273 |
+
"FAC": {
|
| 274 |
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"p": 0.4028776978,
|
| 275 |
+
"r": 0.4307692308,
|
| 276 |
+
"f": 0.4163568773
|
| 277 |
+
},
|
| 278 |
+
"EVENT": {
|
| 279 |
+
"p": 0.5181818182,
|
| 280 |
+
"r": 0.3275862069,
|
| 281 |
+
"f": 0.4014084507
|
| 282 |
+
},
|
| 283 |
+
"CARDINAL": {
|
| 284 |
+
"p": 0.8147123894,
|
| 285 |
+
"r": 0.8757431629,
|
| 286 |
+
"f": 0.8441260745
|
| 287 |
+
},
|
| 288 |
+
"LOC": {
|
| 289 |
+
"p": 0.6677852349,
|
| 290 |
+
"r": 0.6337579618,
|
| 291 |
+
"f": 0.6503267974
|
| 292 |
+
},
|
| 293 |
+
"TIME": {
|
| 294 |
+
"p": 0.7257142857,
|
| 295 |
+
"r": 0.7426900585,
|
| 296 |
+
"f": 0.7341040462
|
| 297 |
+
},
|
| 298 |
+
"MONEY": {
|
| 299 |
+
"p": 0.9160671463,
|
| 300 |
+
"r": 0.9020070838,
|
| 301 |
+
"f": 0.9089827484
|
| 302 |
+
},
|
| 303 |
+
"WORK_OF_ART": {
|
| 304 |
+
"p": 0.4647887324,
|
| 305 |
+
"r": 0.3402061856,
|
| 306 |
+
"f": 0.3928571429
|
| 307 |
+
},
|
| 308 |
+
"LAW": {
|
| 309 |
+
"p": 0.5740740741,
|
| 310 |
+
"r": 0.484375,
|
| 311 |
+
"f": 0.5254237288
|
| 312 |
+
},
|
| 313 |
+
"PERCENT": {
|
| 314 |
+
"p": 0.9197431782,
|
| 315 |
+
"r": 0.8774885145,
|
| 316 |
+
"f": 0.8981191223
|
| 317 |
+
},
|
| 318 |
+
"LANGUAGE": {
|
| 319 |
+
"p": 0.76,
|
| 320 |
+
"r": 0.59375,
|
| 321 |
+
"f": 0.6666666667
|
| 322 |
+
},
|
| 323 |
+
"PRODUCT": {
|
| 324 |
+
"p": 0.5784313725,
|
| 325 |
+
"r": 0.2796208531,
|
| 326 |
+
"f": 0.3769968051
|
| 327 |
+
}
|
| 328 |
+
},
|
| 329 |
+
"speed": 8276.0958055731
|
| 330 |
+
}
|
base/en_core_web_lg/en_core_web_lg-3.7.1/attribute_ruler/patterns
ADDED
|
Binary file (14.7 kB). View file
|
|
|
base/en_core_web_lg/en_core_web_lg-3.7.1/config.cfg
ADDED
|
@@ -0,0 +1,269 @@
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|
|
|
| 1 |
+
[paths]
|
| 2 |
+
train = null
|
| 3 |
+
dev = null
|
| 4 |
+
vectors = null
|
| 5 |
+
init_tok2vec = null
|
| 6 |
+
|
| 7 |
+
[system]
|
| 8 |
+
gpu_allocator = null
|
| 9 |
+
seed = 0
|
| 10 |
+
|
| 11 |
+
[nlp]
|
| 12 |
+
lang = "en"
|
| 13 |
+
pipeline = ["tok2vec","tagger","parser","senter","attribute_ruler","lemmatizer","ner"]
|
| 14 |
+
disabled = ["senter"]
|
| 15 |
+
before_creation = null
|
| 16 |
+
after_creation = null
|
| 17 |
+
after_pipeline_creation = null
|
| 18 |
+
batch_size = 256
|
| 19 |
+
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
| 20 |
+
vectors = {"@vectors":"spacy.Vectors.v1"}
|
| 21 |
+
|
| 22 |
+
[components]
|
| 23 |
+
|
| 24 |
+
[components.attribute_ruler]
|
| 25 |
+
factory = "attribute_ruler"
|
| 26 |
+
scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
|
| 27 |
+
validate = false
|
| 28 |
+
|
| 29 |
+
[components.lemmatizer]
|
| 30 |
+
factory = "lemmatizer"
|
| 31 |
+
mode = "rule"
|
| 32 |
+
model = null
|
| 33 |
+
overwrite = false
|
| 34 |
+
scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
|
| 35 |
+
|
| 36 |
+
[components.ner]
|
| 37 |
+
factory = "ner"
|
| 38 |
+
incorrect_spans_key = null
|
| 39 |
+
moves = null
|
| 40 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
| 41 |
+
update_with_oracle_cut_size = 100
|
| 42 |
+
|
| 43 |
+
[components.ner.model]
|
| 44 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
| 45 |
+
state_type = "ner"
|
| 46 |
+
extra_state_tokens = false
|
| 47 |
+
hidden_width = 64
|
| 48 |
+
maxout_pieces = 2
|
| 49 |
+
use_upper = true
|
| 50 |
+
nO = null
|
| 51 |
+
|
| 52 |
+
[components.ner.model.tok2vec]
|
| 53 |
+
@architectures = "spacy.Tok2Vec.v2"
|
| 54 |
+
|
| 55 |
+
[components.ner.model.tok2vec.embed]
|
| 56 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
| 57 |
+
width = 96
|
| 58 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
| 59 |
+
rows = [5000,1000,2500,2500]
|
| 60 |
+
include_static_vectors = true
|
| 61 |
+
|
| 62 |
+
[components.ner.model.tok2vec.encode]
|
| 63 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
| 64 |
+
width = 96
|
| 65 |
+
depth = 4
|
| 66 |
+
window_size = 1
|
| 67 |
+
maxout_pieces = 3
|
| 68 |
+
|
| 69 |
+
[components.parser]
|
| 70 |
+
factory = "parser"
|
| 71 |
+
learn_tokens = false
|
| 72 |
+
min_action_freq = 30
|
| 73 |
+
moves = null
|
| 74 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
| 75 |
+
update_with_oracle_cut_size = 100
|
| 76 |
+
|
| 77 |
+
[components.parser.model]
|
| 78 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
| 79 |
+
state_type = "parser"
|
| 80 |
+
extra_state_tokens = false
|
| 81 |
+
hidden_width = 64
|
| 82 |
+
maxout_pieces = 2
|
| 83 |
+
use_upper = true
|
| 84 |
+
nO = null
|
| 85 |
+
|
| 86 |
+
[components.parser.model.tok2vec]
|
| 87 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
| 88 |
+
width = ${components.tok2vec.model.encode:width}
|
| 89 |
+
upstream = "tok2vec"
|
| 90 |
+
|
| 91 |
+
[components.senter]
|
| 92 |
+
factory = "senter"
|
| 93 |
+
overwrite = false
|
| 94 |
+
scorer = {"@scorers":"spacy.senter_scorer.v1"}
|
| 95 |
+
|
| 96 |
+
[components.senter.model]
|
| 97 |
+
@architectures = "spacy.Tagger.v2"
|
| 98 |
+
nO = null
|
| 99 |
+
normalize = false
|
| 100 |
+
|
| 101 |
+
[components.senter.model.tok2vec]
|
| 102 |
+
@architectures = "spacy.Tok2Vec.v2"
|
| 103 |
+
|
| 104 |
+
[components.senter.model.tok2vec.embed]
|
| 105 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
| 106 |
+
width = 16
|
| 107 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
| 108 |
+
rows = [1000,500,500,500,50]
|
| 109 |
+
include_static_vectors = true
|
| 110 |
+
|
| 111 |
+
[components.senter.model.tok2vec.encode]
|
| 112 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
| 113 |
+
width = 16
|
| 114 |
+
depth = 2
|
| 115 |
+
window_size = 1
|
| 116 |
+
maxout_pieces = 2
|
| 117 |
+
|
| 118 |
+
[components.tagger]
|
| 119 |
+
factory = "tagger"
|
| 120 |
+
label_smoothing = 0.0
|
| 121 |
+
neg_prefix = "!"
|
| 122 |
+
overwrite = false
|
| 123 |
+
scorer = {"@scorers":"spacy.tagger_scorer.v1"}
|
| 124 |
+
|
| 125 |
+
[components.tagger.model]
|
| 126 |
+
@architectures = "spacy.Tagger.v2"
|
| 127 |
+
nO = null
|
| 128 |
+
normalize = false
|
| 129 |
+
|
| 130 |
+
[components.tagger.model.tok2vec]
|
| 131 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
| 132 |
+
width = ${components.tok2vec.model.encode:width}
|
| 133 |
+
upstream = "tok2vec"
|
| 134 |
+
|
| 135 |
+
[components.tok2vec]
|
| 136 |
+
factory = "tok2vec"
|
| 137 |
+
|
| 138 |
+
[components.tok2vec.model]
|
| 139 |
+
@architectures = "spacy.Tok2Vec.v2"
|
| 140 |
+
|
| 141 |
+
[components.tok2vec.model.embed]
|
| 142 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
| 143 |
+
width = ${components.tok2vec.model.encode:width}
|
| 144 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY","IS_SPACE"]
|
| 145 |
+
rows = [5000,1000,2500,2500,50,50]
|
| 146 |
+
include_static_vectors = true
|
| 147 |
+
|
| 148 |
+
[components.tok2vec.model.encode]
|
| 149 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
| 150 |
+
width = 96
|
| 151 |
+
depth = 4
|
| 152 |
+
window_size = 1
|
| 153 |
+
maxout_pieces = 3
|
| 154 |
+
|
| 155 |
+
[corpora]
|
| 156 |
+
|
| 157 |
+
[corpora.dev]
|
| 158 |
+
@readers = "spacy.Corpus.v1"
|
| 159 |
+
path = ${paths.dev}
|
| 160 |
+
gold_preproc = false
|
| 161 |
+
max_length = 0
|
| 162 |
+
limit = 0
|
| 163 |
+
augmenter = null
|
| 164 |
+
|
| 165 |
+
[corpora.train]
|
| 166 |
+
@readers = "spacy.Corpus.v1"
|
| 167 |
+
path = ${paths.train}
|
| 168 |
+
gold_preproc = false
|
| 169 |
+
max_length = 0
|
| 170 |
+
limit = 0
|
| 171 |
+
augmenter = null
|
| 172 |
+
|
| 173 |
+
[training]
|
| 174 |
+
train_corpus = "corpora.train"
|
| 175 |
+
dev_corpus = "corpora.dev"
|
| 176 |
+
seed = ${system:seed}
|
| 177 |
+
gpu_allocator = ${system:gpu_allocator}
|
| 178 |
+
dropout = 0.1
|
| 179 |
+
accumulate_gradient = 1
|
| 180 |
+
patience = 5000
|
| 181 |
+
max_epochs = 0
|
| 182 |
+
max_steps = 100000
|
| 183 |
+
eval_frequency = 1000
|
| 184 |
+
frozen_components = []
|
| 185 |
+
before_to_disk = null
|
| 186 |
+
annotating_components = []
|
| 187 |
+
before_update = null
|
| 188 |
+
|
| 189 |
+
[training.batcher]
|
| 190 |
+
@batchers = "spacy.batch_by_words.v1"
|
| 191 |
+
discard_oversize = false
|
| 192 |
+
tolerance = 0.2
|
| 193 |
+
get_length = null
|
| 194 |
+
|
| 195 |
+
[training.batcher.size]
|
| 196 |
+
@schedules = "compounding.v1"
|
| 197 |
+
start = 100
|
| 198 |
+
stop = 1000
|
| 199 |
+
compound = 1.001
|
| 200 |
+
t = 0.0
|
| 201 |
+
|
| 202 |
+
[training.logger]
|
| 203 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
| 204 |
+
progress_bar = false
|
| 205 |
+
|
| 206 |
+
[training.optimizer]
|
| 207 |
+
@optimizers = "Adam.v1"
|
| 208 |
+
beta1 = 0.9
|
| 209 |
+
beta2 = 0.999
|
| 210 |
+
L2_is_weight_decay = true
|
| 211 |
+
L2 = 0.01
|
| 212 |
+
grad_clip = 1.0
|
| 213 |
+
use_averages = true
|
| 214 |
+
eps = 0.00000001
|
| 215 |
+
learn_rate = 0.001
|
| 216 |
+
|
| 217 |
+
[training.score_weights]
|
| 218 |
+
tag_acc = 0.16
|
| 219 |
+
dep_uas = 0.0
|
| 220 |
+
dep_las = 0.16
|
| 221 |
+
dep_las_per_type = null
|
| 222 |
+
sents_p = null
|
| 223 |
+
sents_r = null
|
| 224 |
+
sents_f = 0.02
|
| 225 |
+
lemma_acc = 0.5
|
| 226 |
+
ents_f = 0.16
|
| 227 |
+
ents_p = 0.0
|
| 228 |
+
ents_r = 0.0
|
| 229 |
+
ents_per_type = null
|
| 230 |
+
speed = 0.0
|
| 231 |
+
|
| 232 |
+
[pretraining]
|
| 233 |
+
|
| 234 |
+
[initialize]
|
| 235 |
+
vocab_data = null
|
| 236 |
+
vectors = ${paths.vectors}
|
| 237 |
+
init_tok2vec = ${paths.init_tok2vec}
|
| 238 |
+
before_init = null
|
| 239 |
+
after_init = null
|
| 240 |
+
|
| 241 |
+
[initialize.components]
|
| 242 |
+
|
| 243 |
+
[initialize.components.ner]
|
| 244 |
+
|
| 245 |
+
[initialize.components.ner.labels]
|
| 246 |
+
@readers = "spacy.read_labels.v1"
|
| 247 |
+
path = "corpus/labels/ner.json"
|
| 248 |
+
require = false
|
| 249 |
+
|
| 250 |
+
[initialize.components.parser]
|
| 251 |
+
|
| 252 |
+
[initialize.components.parser.labels]
|
| 253 |
+
@readers = "spacy.read_labels.v1"
|
| 254 |
+
path = "corpus/labels/parser.json"
|
| 255 |
+
require = false
|
| 256 |
+
|
| 257 |
+
[initialize.components.tagger]
|
| 258 |
+
|
| 259 |
+
[initialize.components.tagger.labels]
|
| 260 |
+
@readers = "spacy.read_labels.v1"
|
| 261 |
+
path = "corpus/labels/tagger.json"
|
| 262 |
+
require = false
|
| 263 |
+
|
| 264 |
+
[initialize.lookups]
|
| 265 |
+
@misc = "spacy.LookupsDataLoader.v1"
|
| 266 |
+
lang = ${nlp.lang}
|
| 267 |
+
tables = ["lexeme_norm"]
|
| 268 |
+
|
| 269 |
+
[initialize.tokenizer]
|
base/en_core_web_lg/en_core_web_lg-3.7.1/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
|
base/en_core_web_lg/en_core_web_lg-3.7.1/meta.json
ADDED
|
@@ -0,0 +1,527 @@
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|
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|
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|
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|
|
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|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
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|
|
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|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"lang":"en",
|
| 3 |
+
"name":"core_web_lg",
|
| 4 |
+
"version":"3.7.1",
|
| 5 |
+
"description":"English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
|
| 6 |
+
"author":"Explosion",
|
| 7 |
+
"email":"[email protected]",
|
| 8 |
+
"url":"https://explosion.ai",
|
| 9 |
+
"license":"MIT",
|
| 10 |
+
"spacy_version":">=3.7.2,<3.8.0",
|
| 11 |
+
"spacy_git_version":"bd2c17e20",
|
| 12 |
+
"vectors":{
|
| 13 |
+
"width":300,
|
| 14 |
+
"vectors":514157,
|
| 15 |
+
"keys":514157,
|
| 16 |
+
"name":"en_vectors"
|
| 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 |
+
"_SP",
|
| 72 |
+
"``"
|
| 73 |
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| 76 |
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| 83 |
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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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| 503 |
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| 504 |
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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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"name":"WordNet 3.0",
|
| 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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{
|
| 518 |
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"name":"Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)",
|
| 519 |
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"url":"https://github.com/explosion/spacy-vectors-builder",
|
| 520 |
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"license":"CC0",
|
| 521 |
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"author":"Explosion"
|
| 522 |
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|
| 523 |
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|
| 524 |
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|
| 525 |
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|
| 526 |
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|
| 527 |
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base/en_core_web_lg/en_core_web_lg-3.7.1/ner/cfg
ADDED
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| 1 |
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{
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| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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| 12 |
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|
| 13 |
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base/en_core_web_lg/en_core_web_lg-3.7.1/ner/model
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base/en_core_web_lg/en_core_web_lg-3.7.1/parser/cfg
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| 4 |
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| 6 |
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| 7 |
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| 8 |
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base/en_core_web_lg/en_core_web_lg-3.7.1/parser/moves
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base/en_core_web_lg/en_core_web_lg-3.7.1/senter/cfg
ADDED
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{
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"overwrite":false
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| 3 |
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base/en_core_web_lg/en_core_web_lg-3.7.1/senter/model
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base/en_core_web_lg/en_core_web_lg-3.7.1/tagger/cfg
ADDED
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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| 26 |
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|
| 27 |
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|
| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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"RBS",
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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"VBZ",
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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| 52 |
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| 53 |
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|
| 54 |
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|
| 55 |
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"neg_prefix":"!",
|
| 56 |
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|
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base/en_core_web_lg/en_core_web_lg-3.7.1/tagger/model
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base/en_core_web_lg/en_core_web_lg-3.7.1/tok2vec/cfg
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{
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base/en_core_web_lg/en_core_web_lg-3.7.1/tok2vec/model
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base/en_core_web_lg/en_core_web_lg-3.7.1/tokenizer
ADDED
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|
| 1 |
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|
| 1 |
+
{
|
| 2 |
+
"lang":"en",
|
| 3 |
+
"name":"core_web_lg",
|
| 4 |
+
"version":"3.7.1",
|
| 5 |
+
"description":"English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
|
| 6 |
+
"author":"Explosion",
|
| 7 |
+
"email":"[email protected]",
|
| 8 |
+
"url":"https://explosion.ai",
|
| 9 |
+
"license":"MIT",
|
| 10 |
+
"spacy_version":">=3.7.2,<3.8.0",
|
| 11 |
+
"spacy_git_version":"bd2c17e20",
|
| 12 |
+
"vectors":{
|
| 13 |
+
"width":300,
|
| 14 |
+
"vectors":514157,
|
| 15 |
+
"keys":514157,
|
| 16 |
+
"name":"en_vectors"
|
| 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 |
+
"_SP",
|
| 72 |
+
"``"
|
| 73 |
+
],
|
| 74 |
+
"parser":[
|
| 75 |
+
"ROOT",
|
| 76 |
+
"acl",
|
| 77 |
+
"acomp",
|
| 78 |
+
"advcl",
|
| 79 |
+
"advmod",
|
| 80 |
+
"agent",
|
| 81 |
+
"amod",
|
| 82 |
+
"appos",
|
| 83 |
+
"attr",
|
| 84 |
+
"aux",
|
| 85 |
+
"auxpass",
|
| 86 |
+
"case",
|
| 87 |
+
"cc",
|
| 88 |
+
"ccomp",
|
| 89 |
+
"compound",
|
| 90 |
+
"conj",
|
| 91 |
+
"csubj",
|
| 92 |
+
"csubjpass",
|
| 93 |
+
"dative",
|
| 94 |
+
"dep",
|
| 95 |
+
"det",
|
| 96 |
+
"dobj",
|
| 97 |
+
"expl",
|
| 98 |
+
"intj",
|
| 99 |
+
"mark",
|
| 100 |
+
"meta",
|
| 101 |
+
"neg",
|
| 102 |
+
"nmod",
|
| 103 |
+
"npadvmod",
|
| 104 |
+
"nsubj",
|
| 105 |
+
"nsubjpass",
|
| 106 |
+
"nummod",
|
| 107 |
+
"oprd",
|
| 108 |
+
"parataxis",
|
| 109 |
+
"pcomp",
|
| 110 |
+
"pobj",
|
| 111 |
+
"poss",
|
| 112 |
+
"preconj",
|
| 113 |
+
"predet",
|
| 114 |
+
"prep",
|
| 115 |
+
"prt",
|
| 116 |
+
"punct",
|
| 117 |
+
"quantmod",
|
| 118 |
+
"relcl",
|
| 119 |
+
"xcomp"
|
| 120 |
+
],
|
| 121 |
+
"attribute_ruler":[
|
| 122 |
+
|
| 123 |
+
],
|
| 124 |
+
"lemmatizer":[
|
| 125 |
+
|
| 126 |
+
],
|
| 127 |
+
"ner":[
|
| 128 |
+
"CARDINAL",
|
| 129 |
+
"DATE",
|
| 130 |
+
"EVENT",
|
| 131 |
+
"FAC",
|
| 132 |
+
"GPE",
|
| 133 |
+
"LANGUAGE",
|
| 134 |
+
"LAW",
|
| 135 |
+
"LOC",
|
| 136 |
+
"MONEY",
|
| 137 |
+
"NORP",
|
| 138 |
+
"ORDINAL",
|
| 139 |
+
"ORG",
|
| 140 |
+
"PERCENT",
|
| 141 |
+
"PERSON",
|
| 142 |
+
"PRODUCT",
|
| 143 |
+
"QUANTITY",
|
| 144 |
+
"TIME",
|
| 145 |
+
"WORK_OF_ART"
|
| 146 |
+
]
|
| 147 |
+
},
|
| 148 |
+
"pipeline":[
|
| 149 |
+
"tok2vec",
|
| 150 |
+
"tagger",
|
| 151 |
+
"parser",
|
| 152 |
+
"attribute_ruler",
|
| 153 |
+
"lemmatizer",
|
| 154 |
+
"ner"
|
| 155 |
+
],
|
| 156 |
+
"components":[
|
| 157 |
+
"tok2vec",
|
| 158 |
+
"tagger",
|
| 159 |
+
"parser",
|
| 160 |
+
"senter",
|
| 161 |
+
"attribute_ruler",
|
| 162 |
+
"lemmatizer",
|
| 163 |
+
"ner"
|
| 164 |
+
],
|
| 165 |
+
"disabled":[
|
| 166 |
+
"senter"
|
| 167 |
+
],
|
| 168 |
+
"performance":{
|
| 169 |
+
"token_acc":0.9986194413,
|
| 170 |
+
"token_p":0.9956819193,
|
| 171 |
+
"token_r":0.9957659295,
|
| 172 |
+
"token_f":0.9957239226,
|
| 173 |
+
"tag_acc":0.9734810915,
|
| 174 |
+
"sents_p":0.9219292867,
|
| 175 |
+
"sents_r":0.8927369879,
|
| 176 |
+
"sents_f":0.907098331,
|
| 177 |
+
"dep_uas":0.9208198801,
|
| 178 |
+
"dep_las":0.9027174273,
|
| 179 |
+
"dep_las_per_type":{
|
| 180 |
+
"prep":{
|
| 181 |
+
"p":0.8601948321,
|
| 182 |
+
"r":0.8677670271,
|
| 183 |
+
"f":0.8639643383
|
| 184 |
+
},
|
| 185 |
+
"det":{
|
| 186 |
+
"p":0.9792625789,
|
| 187 |
+
"r":0.980021202,
|
| 188 |
+
"f":0.9796417436
|
| 189 |
+
},
|
| 190 |
+
"pobj":{
|
| 191 |
+
"p":0.9637052664,
|
| 192 |
+
"r":0.9686628706,
|
| 193 |
+
"f":0.966177709
|
| 194 |
+
},
|
| 195 |
+
"nsubj":{
|
| 196 |
+
"p":0.9559814937,
|
| 197 |
+
"r":0.9505366922,
|
| 198 |
+
"f":0.9532513181
|
| 199 |
+
},
|
| 200 |
+
"aux":{
|
| 201 |
+
"p":0.9805627052,
|
| 202 |
+
"r":0.9835306686,
|
| 203 |
+
"f":0.9820444444
|
| 204 |
+
},
|
| 205 |
+
"advmod":{
|
| 206 |
+
"p":0.8575647625,
|
| 207 |
+
"r":0.8550395423,
|
| 208 |
+
"f":0.8563002907
|
| 209 |
+
},
|
| 210 |
+
"relcl":{
|
| 211 |
+
"p":0.7582954942,
|
| 212 |
+
"r":0.7877358491,
|
| 213 |
+
"f":0.7727353622
|
| 214 |
+
},
|
| 215 |
+
"root":{
|
| 216 |
+
"p":0.9225318526,
|
| 217 |
+
"r":0.8931987598,
|
| 218 |
+
"f":0.9076283684
|
| 219 |
+
},
|
| 220 |
+
"xcomp":{
|
| 221 |
+
"p":0.8885734564,
|
| 222 |
+
"r":0.8987796123,
|
| 223 |
+
"f":0.8936473947
|
| 224 |
+
},
|
| 225 |
+
"amod":{
|
| 226 |
+
"p":0.9205863192,
|
| 227 |
+
"r":0.9155166829,
|
| 228 |
+
"f":0.9180445022
|
| 229 |
+
},
|
| 230 |
+
"compound":{
|
| 231 |
+
"p":0.9182062387,
|
| 232 |
+
"r":0.9327801292,
|
| 233 |
+
"f":0.9254358096
|
| 234 |
+
},
|
| 235 |
+
"poss":{
|
| 236 |
+
"p":0.9745235707,
|
| 237 |
+
"r":0.9778582931,
|
| 238 |
+
"f":0.976188084
|
| 239 |
+
},
|
| 240 |
+
"ccomp":{
|
| 241 |
+
"p":0.779082774,
|
| 242 |
+
"r":0.8511201629,
|
| 243 |
+
"f":0.8135098306
|
| 244 |
+
},
|
| 245 |
+
"attr":{
|
| 246 |
+
"p":0.9063777596,
|
| 247 |
+
"r":0.9322960471,
|
| 248 |
+
"f":0.9191542289
|
| 249 |
+
},
|
| 250 |
+
"case":{
|
| 251 |
+
"p":0.9806835067,
|
| 252 |
+
"r":0.990990991,
|
| 253 |
+
"f":0.9858103062
|
| 254 |
+
},
|
| 255 |
+
"mark":{
|
| 256 |
+
"p":0.9073055774,
|
| 257 |
+
"r":0.9181240064,
|
| 258 |
+
"f":0.9126827341
|
| 259 |
+
},
|
| 260 |
+
"intj":{
|
| 261 |
+
"p":0.6783762685,
|
| 262 |
+
"r":0.6366300366,
|
| 263 |
+
"f":0.656840514
|
| 264 |
+
},
|
| 265 |
+
"advcl":{
|
| 266 |
+
"p":0.6740684022,
|
| 267 |
+
"r":0.6650717703,
|
| 268 |
+
"f":0.6695398656
|
| 269 |
+
},
|
| 270 |
+
"cc":{
|
| 271 |
+
"p":0.8397405094,
|
| 272 |
+
"r":0.836024399,
|
| 273 |
+
"f":0.8378783338
|
| 274 |
+
},
|
| 275 |
+
"neg":{
|
| 276 |
+
"p":0.9455272364,
|
| 277 |
+
"r":0.9493226292,
|
| 278 |
+
"f":0.9474211317
|
| 279 |
+
},
|
| 280 |
+
"conj":{
|
| 281 |
+
"p":0.7754289978,
|
| 282 |
+
"r":0.7849949648,
|
| 283 |
+
"f":0.7801826598
|
| 284 |
+
},
|
| 285 |
+
"nsubjpass":{
|
| 286 |
+
"p":0.9282744283,
|
| 287 |
+
"r":0.9158974359,
|
| 288 |
+
"f":0.9220443986
|
| 289 |
+
},
|
| 290 |
+
"auxpass":{
|
| 291 |
+
"p":0.9508709245,
|
| 292 |
+
"r":0.9699316629,
|
| 293 |
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|
| 475 |
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|
| 477 |
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|
| 478 |
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| 485 |
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| 487 |
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| 495 |
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| 496 |
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| 497 |
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},
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| 498 |
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"sources":[
|
| 499 |
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{
|
| 500 |
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"name":"OntoNotes 5",
|
| 501 |
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"url":"https://catalog.ldc.upenn.edu/LDC2013T19",
|
| 502 |
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"license":"commercial (licensed by Explosion)",
|
| 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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},
|
| 505 |
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{
|
| 506 |
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"name":"ClearNLP Constituent-to-Dependency Conversion",
|
| 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",
|
| 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",
|
| 513 |
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"url":"https://wordnet.princeton.edu/",
|
| 514 |
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"author":"Princeton University",
|
| 515 |
+
"license":"WordNet 3.0 License"
|
| 516 |
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},
|
| 517 |
+
{
|
| 518 |
+
"name":"Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)",
|
| 519 |
+
"url":"https://github.com/explosion/spacy-vectors-builder",
|
| 520 |
+
"license":"CC0",
|
| 521 |
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"author":"Explosion"
|
| 522 |
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}
|
| 523 |
+
],
|
| 524 |
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"requirements":[
|
| 525 |
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|
| 526 |
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]
|
| 527 |
+
}
|