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@@ -37,3 +37,5 @@ en_core_web_sm-3.7.1/ner/model filter=lfs diff=lfs merge=lfs -text
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  en_core_web_sm-3.7.1/tok2vec/model filter=lfs diff=lfs merge=lfs -text
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  en_core_web_lg/ner/model filter=lfs diff=lfs merge=lfs -text
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  en_core_web_lg/tok2vec/model filter=lfs diff=lfs merge=lfs -text
 
 
 
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  en_core_web_sm-3.7.1/tok2vec/model filter=lfs diff=lfs merge=lfs -text
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  en_core_web_lg/ner/model filter=lfs diff=lfs merge=lfs -text
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  en_core_web_lg/tok2vec/model filter=lfs diff=lfs merge=lfs -text
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+ en_core_web_lg/vocab/key2row filter=lfs diff=lfs merge=lfs -text
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+ en_core_web_lg/vocab/vectors filter=lfs diff=lfs merge=lfs -text
en_core_web_lg/LICENSE ADDED
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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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+ # 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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+ # 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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+ # 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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+ WordNet 3.0 Copyright 2006 by Princeton University. All rights reserved.
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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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+
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+ * Author: Explosion
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+ * URL: https://github.com/explosion/spacy-vectors-builder
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en_core_web_lg/README.md ADDED
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+ ### Details: https://spacy.io/models/en#en_core_web_lg
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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_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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+
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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 (113 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`, `_SP`, ```` |
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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` | 99.86 |
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+ | `TOKEN_P` | 99.57 |
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+ | `TOKEN_R` | 99.58 |
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+ | `TOKEN_F` | 99.57 |
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+ | `TAG_ACC` | 97.35 |
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+ | `SENTS_P` | 92.19 |
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+ | `SENTS_R` | 89.27 |
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+ | `SENTS_F` | 90.71 |
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+ | `DEP_UAS` | 92.08 |
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+ | `DEP_LAS` | 90.27 |
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+ | `ENTS_P` | 85.16 |
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+ | `ENTS_R` | 85.70 |
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+ | `ENTS_F` | 85.43 |
en_core_web_lg/accuracy.json ADDED
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+ },
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+ "attr": {
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+ "case": {
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+ "mark": {
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+ "advcl": {
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+ "auxpass": {
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+ "pcomp": {
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+ "acl": {
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+ "agent": {
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