Add spacy model

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+en_core_web_sm-3.6.0/ner/model filter=lfs diff=lfs merge=lfs -text
+en_core_web_sm-3.6.0/tok2vec/model filter=lfs diff=lfs merge=lfs -text

en_core_web_sm-3.6.0/LICENSE

@@ -0,0 +1,19 @@
+Copyright 2021 ExplosionAI GmbH
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of
+this software and associated documentation files (the "Software"), to deal in
+the Software without restriction, including without limitation the rights to
+use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
+of the Software, and to permit persons to whom the Software is furnished to do
+so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

en_core_web_sm-3.6.0/LICENSES_SOURCES

@@ -0,0 +1,66 @@
+# OntoNotes 5
+
+* 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
+* URL: https://catalog.ldc.upenn.edu/LDC2013T19
+* License: commercial (licensed by Explosion)
+
+```
+```
+
+
+
+
+# ClearNLP Constituent-to-Dependency Conversion
+
+* Author: Emory University
+* URL: https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md
+* License: Citation provided for reference, no code packaged with model
+
+```
+```
+
+
+
+
+# WordNet 3.0
+
+* Author: Princeton University
+* URL: https://wordnet.princeton.edu/
+* License: WordNet 3.0 License
+
+```
+WordNet Release 3.0
+
+This software and database is being provided to you, the LICENSEE, by  
+Princeton University under the following license.  By obtaining, using  
+and/or copying this software and database, you agree that you have  
+read, understood, and will comply with these terms and conditions.:  
+  
+Permission to use, copy, modify and distribute this software and  
+database and its documentation for any purpose and without fee or  
+royalty is hereby granted, provided that you agree to comply with  
+the following copyright notice and statements, including the disclaimer,  
+and that the same appear on ALL copies of the software, database and  
+documentation, including modifications that you make for internal  
+use or for distribution.  
+  
+WordNet 3.0 Copyright 2006 by Princeton University.  All rights reserved.  
+  
+THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON  
+UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR  
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON  
+UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-  
+ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE  
+OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT  
+INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR  
+OTHER RIGHTS.  
+  
+The name of Princeton University or Princeton may not be used in  
+advertising or publicity pertaining to distribution of the software  
+and/or database.  Title to copyright in this software, database and  
+any associated documentation shall at all times remain with  
+Princeton University and LICENSEE agrees to preserve same.```
+
+
+
+

en_core_web_sm-3.6.0/README.md

@@ -0,0 +1,47 @@
+### Details: https://spacy.io/models/en#en_core_web_sm
+
+English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
+
+| Feature | Description |
+| --- | --- |
+| **Name** | `en_core_web_sm` |
+| **Version** | `3.6.0` |
+| **spaCy** | `>=3.6.0,<3.7.0` |
+| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
+| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
+| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
+| **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) |
+| **License** | `MIT` |
+| **Author** | [Explosion](https://explosion.ai) |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (113 labels for 3 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`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`, ```` |
+| **`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` |
+| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
+
+</details>
+
+### Accuracy
+
+| Type | Score |
+| --- | --- |
+| `TOKEN_ACC` | 99.86 |
+| `TOKEN_P` | 99.57 |
+| `TOKEN_R` | 99.58 |
+| `TOKEN_F` | 99.57 |
+| `TAG_ACC` | 97.25 |
+| `SENTS_P` | 92.02 |
+| `SENTS_R` | 89.21 |
+| `SENTS_F` | 90.59 |
+| `DEP_UAS` | 91.75 |
+| `DEP_LAS` | 89.87 |
+| `ENTS_P` | 84.55 |
+| `ENTS_R` | 84.57 |
+| `ENTS_F` | 84.56 |

en_core_web_sm-3.6.0/accuracy.json

@@ -0,0 +1,330 @@
+{
+  "token_acc": 0.9986194413,
+  "token_p": 0.9956819193,
+  "token_r": 0.9957659295,
+  "token_f": 0.9957239226,
+  "tag_acc": 0.97246532,
+  "sents_p": 0.9201877934,
+  "sents_r": 0.8921432812,
+  "sents_f": 0.9059485531,
+  "dep_uas": 0.9175304332,
+  "dep_las": 0.89874821,
+  "dep_las_per_type": {
+    "prep": {
+      "p": 0.853521338,
+      "r": 0.8635932461,
+      "f": 0.8585277532
+    },
+    "det": {
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+      "r": 0.9781048683,
+      "f": 0.9772481923
+    },
+    "pobj": {
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+      "r": 0.967681131,
+      "f": 0.9645184649
+    },
+    "nsubj": {
+      "p": 0.9565737052,
+      "r": 0.9467250821,
+      "f": 0.9516239128
+    },
+    "aux": {
+      "p": 0.9815061794,
+      "r": 0.9827294578,
+      "f": 0.9821174377
+    },
+    "advmod": {
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+      "r": 0.8519266364,
+      "f": 0.8533625485
+    },
+    "relcl": {
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+      "r": 0.7659651669,
+      "f": 0.7615440115
+    },
+    "root": {
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+      "r": 0.8910218352,
+      "f": 0.9050825879
+    },
+    "xcomp": {
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+      "r": 0.8966259871,
+      "f": 0.8900766079
+    },
+    "amod": {
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+      "r": 0.9107223842,
+      "f": 0.9140683422
+    },
+    "compound": {
+      "p": 0.9126489559,
+      "r": 0.9298284696,
+      "f": 0.9211586207
+    },
+    "poss": {
+      "p": 0.9739583333,
+      "r": 0.9786634461,
+      "f": 0.9763052209
+    },
+    "ccomp": {
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+      "r": 0.8372708758,
+      "f": 0.8006621872
+    },
+    "attr": {
+      "p": 0.899837794,
+      "r": 0.93313709,
+      "f": 0.9161849711
+    },
+    "case": {
+      "p": 0.9787549407,
+      "r": 0.9914914915,
+      "f": 0.9850820487
+    },
+    "mark": {
+      "p": 0.9068783069,
+      "r": 0.9083200848,
+      "f": 0.9075986232
+    },
+    "intj": {
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+      "r": 0.6175824176,
+      "f": 0.6435114504
+    },
+    "advcl": {
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+      "r": 0.6645681189,
+      "f": 0.6639828909
+    },
+    "cc": {
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+      "r": 0.8277717976,
+      "f": 0.8300551691
+    },
+    "neg": {
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+      "r": 0.9533366784,
+      "f": 0.95
+    },
+    "conj": {
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+    "auxpass": {
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+      "r": 0.9722095672,
+      "f": 0.9610448097
+    },
+    "dobj": {
+      "p": 0.9229805886,
+      "r": 0.9396764682,
+      "f": 0.9312537019
+    },
+    "nummod": {
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+      "r": 0.9310606061,
+      "f": 0.9344823216
+    },
+    "npadvmod": {
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+      "r": 0.7055062167,
+      "f": 0.7331118494
+    },
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+      "r": 0.8853046595,
+      "f": 0.8469781397
+    },
+    "pcomp": {
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+      "r": 0.8662464986,
+      "f": 0.8748231966
+    },
+    "expl": {
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+      "r": 0.9935760171,
+      "f": 0.9893390192
+    },
+    "acl": {
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+      "r": 0.6966721222,
+      "f": 0.7186268993
+    },
+    "agent": {
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+      "r": 0.9390681004,
+      "f": 0.920913884
+    },
+    "dative": {
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+      "f": 0.7450980392
+    },
+    "acomp": {
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+      "r": 0.893877551,
+      "f": 0.8979498861
+    },
+    "dep": {
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+      "f": 0.2448512586
+    },
+    "csubj": {
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+      "r": 0.7396449704,
+      "f": 0.7183908046
+    },
+    "quantmod": {
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+      "r": 0.7855402112,
+      "f": 0.8268490808
+    },
+    "nmod": {
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+      "r": 0.5807434491,
+      "f": 0.654532967
+    },
+    "appos": {
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+      "r": 0.6620390456,
+      "f": 0.6827740492
+    },
+    "predet": {
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+      "r": 0.8798283262,
+      "f": 0.8541666667
+    },
+    "preconj": {
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+      "r": 0.6511627907,
+      "f": 0.5989304813
+    },
+    "oprd": {
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+      "r": 0.7223880597,
+      "f": 0.759811617
+    },
+    "parataxis": {
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+      "r": 0.4880694143,
+      "f": 0.5548705302
+    },
+    "meta": {
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+      "r": 0.4423076923,
+      "f": 0.407079646
+    },
+    "csubjpass": {
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+      "r": 0.8333333333,
+      "f": 0.6666666667
+    }
+  },
+  "ents_p": 0.8454836771,
+  "ents_r": 0.8456530449,
+  "ents_f": 0.8455683525,
+  "ents_per_type": {
+    "DATE": {
+      "p": 0.8603213844,
+      "r": 0.8838095238,
+      "f": 0.8719072972
+    },
+    "GPE": {
+      "p": 0.9146932953,
+      "r": 0.8942817294,
+      "f": 0.9043723554
+    },
+    "ORG": {
+      "p": 0.7955942623,
+      "r": 0.8234358431,
+      "f": 0.8092756644
+    },
+    "CARDINAL": {
+      "p": 0.8149171271,
+      "r": 0.8769322235,
+      "f": 0.8447880871
+    },
+    "PERSON": {
+      "p": 0.8617758186,
+      "r": 0.8932767624,
+      "f": 0.8772435897
+    },
+    "NORP": {
+      "p": 0.8957006369,
+      "r": 0.9,
+      "f": 0.8978451716
+    },
+    "ORDINAL": {
+      "p": 0.7844827586,
+      "r": 0.847826087,
+      "f": 0.8149253731
+    },
+    "QUANTITY": {
+      "p": 0.8529411765,
+      "r": 0.6373626374,
+      "f": 0.7295597484
+    },
+    "LOC": {
+      "p": 0.7210884354,
+      "r": 0.6751592357,
+      "f": 0.6973684211
+    },
+    "FAC": {
+      "p": 0.358490566,
+      "r": 0.2923076923,
+      "f": 0.3220338983
+    },
+    "TIME": {
+      "p": 0.7413793103,
+      "r": 0.7543859649,
+      "f": 0.747826087
+    },
+    "PRODUCT": {
+      "p": 0.5591397849,
+      "r": 0.2464454976,
+      "f": 0.3421052632
+    },
+    "WORK_OF_ART": {
+      "p": 0.4885496183,
+      "r": 0.3298969072,
+      "f": 0.3938461538
+    },
+    "EVENT": {
+      "p": 0.6428571429,
+      "r": 0.3103448276,
+      "f": 0.4186046512
+    },
+    "MONEY": {
+      "p": 0.9071428571,
+      "r": 0.8996458087,
+      "f": 0.9033787789
+    },
+    "LAW": {
+      "p": 0.5454545455,
+      "r": 0.46875,
+      "f": 0.5042016807
+    },
+    "PERCENT": {
+      "p": 0.9184,
+      "r": 0.8790199081,
+      "f": 0.8982785603
+    },
+    "LANGUAGE": {
+      "p": 0.8,
+      "r": 0.625,
+      "f": 0.701754386
+    }
+  },
+  "speed": 8516.5316928954
+}

en_core_web_sm-3.6.0/config.cfg

@@ -0,0 +1,268 @@
+[paths]
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = null
+seed = 0
+
+[nlp]
+lang = "en"
+pipeline = ["tok2vec","tagger","parser","senter","attribute_ruler","lemmatizer","ner"]
+disabled = ["senter"]
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 256
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.attribute_ruler]
+factory = "attribute_ruler"
+scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
+validate = false
+
+[components.lemmatizer]
+factory = "lemmatizer"
+mode = "rule"
+model = null
+overwrite = false
+scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.ner.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 96
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
+rows = [5000,1000,2500,2500]
+include_static_vectors = false
+
+[components.ner.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 96
+depth = 4
+window_size = 1
+maxout_pieces = 3
+
+[components.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 30
+moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.parser.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "parser"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode:width}
+upstream = "tok2vec"
+
+[components.senter]
+factory = "senter"
+overwrite = false
+scorer = {"@scorers":"spacy.senter_scorer.v1"}
+
+[components.senter.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.senter.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.senter.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 16
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [1000,500,500,500,50]
+include_static_vectors = false
+
+[components.senter.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 16
+depth = 2
+window_size = 1
+maxout_pieces = 2
+
+[components.tagger]
+factory = "tagger"
+label_smoothing = 0.0
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode:width}
+upstream = "tok2vec"
+
+[components.tok2vec]
+factory = "tok2vec"
+
+[components.tok2vec.model]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.tok2vec.model.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = ${components.tok2vec.model.encode:width}
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY","IS_SPACE"]
+rows = [5000,1000,2500,2500,50,50]
+include_static_vectors = false
+
+[components.tok2vec.model.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 96
+depth = 4
+window_size = 1
+maxout_pieces = 3
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+train_corpus = "corpora.train"
+dev_corpus = "corpora.dev"
+seed = ${system:seed}
+gpu_allocator = ${system:gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 5000
+max_epochs = 0
+max_steps = 100000
+eval_frequency = 1000
+frozen_components = []
+before_to_disk = null
+annotating_components = []
+before_update = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
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+    "NNP",
+    "NNPS",
+    "NNS",
+    "PDT",
+    "POS",
+    "PRP",
+    "PRP$",
+    "RB",
+    "RBR",
+    "RBS",
+    "RP",
+    "SYM",
+    "TO",
+    "UH",
+    "VB",
+    "VBD",
+    "VBG",
+    "VBN",
+    "VBP",
+    "VBZ",
+    "WDT",
+    "WP",
+    "WP$",
+    "WRB",
+    "XX",
+    "_SP",
+    "``"
+  ],
+  "neg_prefix":"!",
+  "overwrite":false
+}

en_core_web_sm-3.6.0/tok2vec/cfg

@@ -0,0 +1,3 @@
+{
+
+}

en_core_web_sm-3.6.0/tok2vec/model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42d8414521eaf75f817bd1b351b26039a22a912bb2617f95ead305420f2ebffd
+size 6269370

en_core_web_sm-3.6.0/tokenizer

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