osanseviero HF staff commited on
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Update spaCy pipeline

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ en_core_web_sm-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ ner/model filter=lfs diff=lfs merge=lfs -text
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+ tok2vec/model filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
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+ Copyright 2021 ExplosionAI GmbH
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+
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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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+
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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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+
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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.
LICENSES_SOURCES ADDED
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+ # OntoNotes 5
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+
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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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+ ```
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+
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+
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+
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+
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+ # ClearNLP Constituent-to-Dependency Conversion
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+
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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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+ ```
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+
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+
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+
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+
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+ # WordNet 3.0
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+
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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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+ ```
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+ WordNet Release 3.0
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+
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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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+
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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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+
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+ WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
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+
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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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+
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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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+
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+
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+
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+
README.md ADDED
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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: 0.8508041869
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+ - name: NER Recall
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+ type: recall
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+ value: 0.8344851763
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.8425656714
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+ - task:
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+ name: TAG
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+ type: token-classification
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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.9726545475
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+ - task:
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+ name: UNLABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Unlabeled Attachment Score (UAS)
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+ type: f_score
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+ value: 0.9180803841
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+ - task:
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+ name: LABELED_DEPENDENCIES
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+ type: token-classification
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+ metrics:
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+ - name: Labeled Attachment Score (LAS)
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+ type: f_score
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+ value: 0.8996666011
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+ - task:
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+ name: SENTS
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+ type: token-classification
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+ metrics:
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+ - name: Sentences F-Score
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+ type: f_score
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+ value: 0.9060200669
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+ ---
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+ ### Details: https://spacy.io/models/en#en_core_web_sm
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+
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+ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
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+
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_core_web_sm` |
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+ | **Version** | `3.3.0` |
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+ | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
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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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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (112 labels for 3 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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+ | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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+ | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
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+
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+ </details>
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `TOKEN_ACC` | 99.93 |
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+ | `TOKEN_P` | 99.57 |
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+ | `TOKEN_R` | 99.58 |
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+ | `TOKEN_F` | 99.57 |
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+ | `TAG_ACC` | 97.27 |
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+ | `SENTS_P` | 91.89 |
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+ | `SENTS_R` | 89.35 |
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+ | `SENTS_F` | 90.60 |
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+ | `DEP_UAS` | 91.81 |
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+ | `DEP_LAS` | 89.97 |
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+ | `ENTS_P` | 85.08 |
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+ | `ENTS_R` | 83.45 |
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+ | `ENTS_F` | 84.26 |
accuracy.json ADDED
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