Update spaCy pipeline

.gitattributes

@@ -14,3 +14,7 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+*.whl filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*strings.json filter=lfs diff=lfs merge=lfs -text
+vectors filter=lfs diff=lfs merge=lfs -text

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.

LICENSES_SOURCES

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+# 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)
+
+```
+```
+
+
+
+
+# CoreNLP Universal Dependencies Converter
+
+* Author: Stanford NLP Group
+* URL: https://nlp.stanford.edu/software/stanford-dependencies.html
+* License: Citation provided for reference, no code packaged with model
+
+```
+```
+
+
+
+
+# Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
+
+* Author: Explosion
+* URL: https://spacy.io
+* License: CC0
+
+```
+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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+
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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.```
+
+
+
+

README.md

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+---
+tags:
+- spacy
+- token-classification
+language:
+- zh
+license: MIT
+model-index:
+- name: zh_core_web_lg
+  results:
+  - tasks:
+      name: NER
+      type: token-classification
+      metrics:
+      - name: Precision
+        type: precision
+        value: 0.7358998362
+      - name: Recall
+        type: recall
+        value: 0.6910989011
+      - name: F Score
+        type: f_score
+        value: 0.7127961011
+  - tasks:
+      name: POS
+      type: token-classification
+      metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9037457747
+  - tasks:
+      name: SENTER
+      type: token-classification
+      metrics:
+      - name: Precision
+        type: precision
+        value: 0.7896445968
+      - name: Recall
+        type: recall
+        value: 0.7286499084
+      - name: F Score
+        type: f_score
+        value: 0.7579220779
+  - tasks:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+      metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7069146954
+  - tasks:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+      metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7069146954
+---
+### Details: https://spacy.io/models/zh#zh_core_web_lg
+
+Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.
+
+| Feature | Description |
+| --- | --- |
+| **Name** | `zh_core_web_lg` |
+| **Version** | `3.1.0` |
+| **spaCy** | `>=3.1.0,<3.2.0` |
+| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `ner` |
+| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `ner` |
+| **Vectors** | 500000 keys, 500000 unique vectors (300 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 />[CoreNLP Universal Dependencies Converter](https://nlp.stanford.edu/software/stanford-dependencies.html) (Stanford NLP Group)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
+| **License** | `MIT` |
+| **Author** | [Explosion](https://explosion.ai) |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (101 labels for 4 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`tagger`** | `AD`, `AS`, `BA`, `CC`, `CD`, `CS`, `DEC`, `DEG`, `DER`, `DEV`, `DT`, `ETC`, `FW`, `IJ`, `INF`, `JJ`, `LB`, `LC`, `M`, `MSP`, `NN`, `NR`, `NT`, `OD`, `ON`, `P`, `PN`, `PU`, `SB`, `SP`, `URL`, `VA`, `VC`, `VE`, `VV`, `X` |
+| **`parser`** | `ROOT`, `acl`, `advcl:loc`, `advmod`, `advmod:dvp`, `advmod:loc`, `advmod:rcomp`, `amod`, `amod:ordmod`, `appos`, `aux:asp`, `aux:ba`, `aux:modal`, `aux:prtmod`, `auxpass`, `case`, `cc`, `ccomp`, `compound:nn`, `compound:vc`, `conj`, `cop`, `dep`, `det`, `discourse`, `dobj`, `etc`, `mark`, `mark:clf`, `name`, `neg`, `nmod`, `nmod:assmod`, `nmod:poss`, `nmod:prep`, `nmod:range`, `nmod:tmod`, `nmod:topic`, `nsubj`, `nsubj:xsubj`, `nsubjpass`, `nummod`, `parataxis:prnmod`, `punct`, `xcomp` |
+| **`senter`** | `I`, `S` |
+| **`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` | 97.88 |
+| `TAG_ACC` | 90.37 |
+| `DEP_UAS` | 70.69 |
+| `DEP_LAS` | 65.55 |
+| `ENTS_P` | 73.59 |
+| `ENTS_R` | 69.11 |
+| `ENTS_F` | 71.28 |
+| `SENTS_P` | 78.96 |
+| `SENTS_R` | 72.86 |
+| `SENTS_F` | 75.79 |

accuracy.json

@@ -0,0 +1,332 @@
+{
+  "token_acc": 0.9788303388,
+  "tag_acc": 0.9037457747,
+  "dep_uas": 0.7069146954,
+  "dep_las": 0.6555390607,
+  "ents_p": 0.7358998362,
+  "ents_r": 0.6910989011,
+  "ents_f": 0.7127961011,
+  "sents_p": 0.7896445968,
+  "sents_r": 0.7286499084,
+  "sents_f": 0.7579220779,
+  "speed": 9733.8076235494,
+  "dep_las_per_type": {
+    "dep": {
+      "p": 0.4876810512,
+      "r": 0.3299989896,
+      "f": 0.3936362541
+    },
+    "case": {
+      "p": 0.8168795974,
+      "r": 0.7674587779,
+      "f": 0.7913983872
+    },
+    "nmod:tmod": {
+      "p": 0.7313237221,
+      "r": 0.7591836735,
+      "f": 0.7449933244
+    },
+    "nummod": {
+      "p": 0.8191268191,
+      "r": 0.5249833444,
+      "f": 0.6398700771
+    },
+    "mark:clf": {
+      "p": 0.9383017715,
+      "r": 0.572920552,
+      "f": 0.7114404817
+    },
+    "auxpass": {
+      "p": 0.8817204301,
+      "r": 0.8864864865,
+      "f": 0.884097035
+    },
+    "nsubj": {
+      "p": 0.7777050039,
+      "r": 0.7292715883,
+      "f": 0.7527099842
+    },
+    "acl": {
+      "p": 0.7153127247,
+      "r": 0.5518580144,
+      "f": 0.623043206
+    },
+    "advmod": {
+      "p": 0.8195641156,
+      "r": 0.7331670823,
+      "f": 0.7739619481
+    },
+    "mark": {
+      "p": 0.7456996746,
+      "r": 0.7028921998,
+      "f": 0.7236634333
+    },
+    "xcomp": {
+      "p": 0.7944444444,
+      "r": 0.6986970684,
+      "f": 0.7435008666
+    },
+    "nmod:assmod": {
+      "p": 0.7745130406,
+      "r": 0.7301587302,
+      "f": 0.7516821532
+    },
+    "det": {
+      "p": 0.8369132856,
+      "r": 0.6162858817,
+      "f": 0.709851552
+    },
+    "amod": {
+      "p": 0.7794589638,
+      "r": 0.6677140613,
+      "f": 0.7192722657
+    },
+    "nmod:prep": {
+      "p": 0.7016613644,
+      "r": 0.6004234725,
+      "f": 0.6471067645
+    },
+    "root": {
+      "p": 0.7394862036,
+      "r": 0.6469119361,
+      "f": 0.6901083289
+    },
+    "aux:prtmod": {
+      "p": 0.9246031746,
+      "r": 0.8321428571,
+      "f": 0.8759398496
+    },
+    "compound:nn": {
+      "p": 0.7463895738,
+      "r": 0.7170896785,
+      "f": 0.7314463238
+    },
+    "dobj": {
+      "p": 0.7939269334,
+      "r": 0.7435935417,
+      "f": 0.7679363622
+    },
+    "ccomp": {
+      "p": 0.6330907698,
+      "r": 0.6426905132,
+      "f": 0.6378545244
+    },
+    "advmod:rcomp": {
+      "p": 0.8229813665,
+      "r": 0.7340720222,
+      "f": 0.775988287
+    },
+    "nmod:topic": {
+      "p": 0.3762886598,
+      "r": 0.237012987,
+      "f": 0.2908366534
+    },
+    "cop": {
+      "p": 0.7518367347,
+      "r": 0.5926640927,
+      "f": 0.6628283555
+    },
+    "discourse": {
+      "p": 0.5575139147,
+      "r": 0.4958745875,
+      "f": 0.5248908297
+    },
+    "neg": {
+      "p": 0.8395802099,
+      "r": 0.6658739596,
+      "f": 0.7427055703
+    },
+    "aux:modal": {
+      "p": 0.8475289169,
+      "r": 0.8335056877,
+      "f": 0.8404588113
+    },
+    "nmod": {
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+      "r": 0.6024423338,
+      "f": 0.6592427617
+    },
+    "aux:ba": {
+      "p": 0.807486631,
+      "r": 0.8031914894,
+      "f": 0.8053333333
+    },
+    "advmod:loc": {
+      "p": 0.6349206349,
+      "r": 0.4747774481,
+      "f": 0.5432937182
+    },
+    "aux:asp": {
+      "p": 0.9013854931,
+      "r": 0.8819776715,
+      "f": 0.8915759774
+    },
+    "conj": {
+      "p": 0.4869204402,
+      "r": 0.5102079395,
+      "f": 0.4982922551
+    },
+    "nsubjpass": {
+      "p": 0.8048780488,
+      "r": 0.66,
+      "f": 0.7252747253
+    },
+    "compound:vc": {
+      "p": 0.4647058824,
+      "r": 0.4093264249,
+      "f": 0.435261708
+    },
+    "advcl:loc": {
+      "p": 0.5573770492,
+      "r": 0.4857142857,
+      "f": 0.5190839695
+    },
+    "cc": {
+      "p": 0.7340425532,
+      "r": 0.6734693878,
+      "f": 0.7024525683
+    },
+    "advmod:dvp": {
+      "p": 0.8320610687,
+      "r": 0.6770186335,
+      "f": 0.7465753425
+    },
+    "appos": {
+      "p": 0.8740920097,
+      "r": 0.8298850575,
+      "f": 0.8514150943
+    },
+    "nmod:poss": {
+      "p": 0.7341772152,
+      "r": 0.4296296296,
+      "f": 0.5420560748
+    },
+    "name": {
+      "p": 0.6018518519,
+      "r": 0.4814814815,
+      "f": 0.5349794239
+    },
+    "nsubj:xsubj": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "nmod:range": {
+      "p": 0.7035714286,
+      "r": 0.6610738255,
+      "f": 0.6816608997
+    },
+    "parataxis:prnmod": {
+      "p": 0.5454545455,
+      "r": 0.1353383459,
+      "f": 0.2168674699
+    },
+    "amod:ordmod": {
+      "p": 0.564516129,
+      "r": 0.546875,
+      "f": 0.5555555556
+    },
+    "erased": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "etc": {
+      "p": 0.9069767442,
+      "r": 0.9285714286,
+      "f": 0.9176470588
+    }
+  },
+  "ents_per_type": {
+    "DATE": {
+      "p": 0.7675925926,
+      "r": 0.82160555,
+      "f": 0.7936811872
+    },
+    "GPE": {
+      "p": 0.7719060524,
+      "r": 0.8352883675,
+      "f": 0.8023474178
+    },
+    "ORDINAL": {
+      "p": 0.8388888889,
+      "r": 0.7947368421,
+      "f": 0.8162162162
+    },
+    "FAC": {
+      "p": 0.5581395349,
+      "r": 0.3870967742,
+      "f": 0.4571428571
+    },
+    "ORG": {
+      "p": 0.7028571429,
+      "r": 0.6552511416,
+      "f": 0.6782197716
+    },
+    "LOC": {
+      "p": 0.5894039735,
+      "r": 0.4784946237,
+      "f": 0.528189911
+    },
+    "QUANTITY": {
+      "p": 0.7889908257,
+      "r": 0.637037037,
+      "f": 0.7049180328
+    },
+    "WORK_OF_ART": {
+      "p": 0.5,
+      "r": 0.2866666667,
+      "f": 0.3644067797
+    },
+    "CARDINAL": {
+      "p": 0.614744352,
+      "r": 0.5211693548,
+      "f": 0.5641025641
+    },
+    "NORP": {
+      "p": 0.6755952381,
+      "r": 0.4768907563,
+      "f": 0.5591133005
+    },
+    "TIME": {
+      "p": 0.7365853659,
+      "r": 0.7330097087,
+      "f": 0.7347931873
+    },
+    "MONEY": {
+      "p": 0.9322033898,
+      "r": 0.8148148148,
+      "f": 0.8695652174
+    },
+    "EVENT": {
+      "p": 0.5681818182,
+      "r": 0.3676470588,
+      "f": 0.4464285714
+    },
+    "PERSON": {
+      "p": 0.8077682686,
+      "r": 0.7905927835,
+      "f": 0.7990882449
+    },
+    "PERCENT": {
+      "p": 0.7882352941,
+      "r": 0.8072289157,
+      "f": 0.7976190476
+    },
+    "PRODUCT": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
+    "LAW": {
+      "p": 0.3333333333,
+      "r": 0.1,
+      "f": 0.1538461538
+    },
+    "LANGUAGE": {
+      "p": 0.5555555556,
+      "r": 0.5555555556,
+      "f": 0.5555555556
+    }
+  }
+}

config.cfg

@@ -0,0 +1,255 @@
+[paths]
+train = "corpus/zh-core-news/train.spacy"
+dev = "corpus/zh-core-news/dev.spacy"
+vectors = "corpus/zh_vectors"
+raw = null
+init_tok2vec = null
+vocab_data = null
+
+[system]
+gpu_allocator = null
+seed = 0
+
+[nlp]
+lang = "zh"
+pipeline = ["tok2vec","tagger","parser","senter","attribute_ruler","ner"]
+disabled = ["senter"]
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 256
+
+[nlp.tokenizer]
+@tokenizers = "spacy.zh.ChineseTokenizer"
+segmenter = "pkuseg"
+
+[components]
+
+[components.attribute_ruler]
+factory = "attribute_ruler"
+validate = false
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+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 = [5000,2500,2500,2500]
+include_static_vectors = true
+
+[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
+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"
+
+[components.senter.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.senter.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.senter.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 16
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
+rows = [1000,500,500,500]
+include_static_vectors = true
+
+[components.senter.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 16
+depth = 2
+window_size = 1
+maxout_pieces = 2
+
+[components.tagger]
+factory = "tagger"
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[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"]
+rows = [5000,2500,2500,2500]
+include_static_vectors = true
+
+[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"
+limit = 0
+max_length = 0
+path = ${paths:dev}
+gold_preproc = false
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths:train}
+max_length = 5000
+gold_preproc = false
+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 = 0
+eval_frequency = 1000
+frozen_components = []
+before_to_disk = null
+annotating_components = []
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+t = 0.0
+
+[training.logger]
+@loggers = "spacy.WandbLogger.v1"
+project_name = "spacy-v3.0.0a2"
+remove_config_values = []
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = true
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+tag_acc = 0.24
+dep_uas = 0.0
+dep_las = 0.24
+dep_las_per_type = null
+sents_p = null
+sents_r = null
+sents_f = 0.03
+ents_f = 0.5
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+
+[initialize]
+vocab_data = ${paths.vocab_data}
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.components.ner]
+
+[initialize.components.ner.labels]
+@readers = "spacy.read_labels.v1"
+path = "corpus/labels/ner.json"
+require = false
+
+[initialize.components.parser]
+
+[initialize.components.parser.labels]
+@readers = "spacy.read_labels.v1"
+path = "corpus/labels/parser.json"
+require = false
+
+[initialize.components.tagger]
+
+[initialize.components.tagger.labels]
+@readers = "spacy.read_labels.v1"
+path = "corpus/labels/tagger.json"
+require = false
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = []
+
+[initialize.tokenizer]
+pkuseg_model = "assets/pkuseg_model"
+pkuseg_user_dict = "default"

meta.json

@@ -0,0 +1,508 @@
+{
+  "lang":"zh",
+  "name":"core_web_lg",
+  "version":"3.1.0",
+  "description":"Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.",
+  "author":"Explosion",
+  "email":"contact@explosion.ai",
+  "url":"https://explosion.ai",
+  "license":"MIT",
+  "spacy_version":">=3.1.0,<3.2.0",
+  "spacy_git_version":"caba63b74",
+  "vectors":{
+    "width":300,
+    "vectors":500000,
+    "keys":500000,
+    "name":"zh_vectors"
+  },
+  "labels":{
+    "tok2vec":[
+
+    ],
+    "tagger":[
+      "AD",
+      "AS",
+      "BA",
+      "CC",
+      "CD",
+      "CS",
+      "DEC",
+      "DEG",
+      "DER",
+      "DEV",
+      "DT",
+      "ETC",
+      "FW",
+      "IJ",
+      "INF",
+      "JJ",
+      "LB",
+      "LC",
+      "M",
+      "MSP",
+      "NN",
+      "NR",
+      "NT",
+      "OD",
+      "ON",
+      "P",
+      "PN",
+      "PU",
+      "SB",
+      "SP",
+      "URL",
+      "VA",
+      "VC",
+      "VE",
+      "VV",
+      "X"
+    ],
+    "parser":[
+      "ROOT",
+      "acl",
+      "advcl:loc",
+      "advmod",
+      "advmod:dvp",
+      "advmod:loc",
+      "advmod:rcomp",
+      "amod",
+      "amod:ordmod",
+      "appos",
+      "aux:asp",
+      "aux:ba",
+      "aux:modal",
+      "aux:prtmod",
+      "auxpass",
+      "case",
+      "cc",
+      "ccomp",
+      "compound:nn",
+      "compound:vc",
+      "conj",
+      "cop",
+      "dep",
+      "det",
+      "discourse",
+      "dobj",
+      "etc",
+      "mark",
+      "mark:clf",
+      "name",
+      "neg",
+      "nmod",
+      "nmod:assmod",
+      "nmod:poss",
+      "nmod:prep",
+      "nmod:range",
+      "nmod:tmod",
+      "nmod:topic",
+      "nsubj",
+      "nsubj:xsubj",
+      "nsubjpass",
+      "nummod",
+      "parataxis:prnmod",
+      "punct",
+      "xcomp"
+    ],
+    "senter":[
+      "I",
+      "S"
+    ],
+    "attribute_ruler":[
+
+    ],
+    "ner":[
+      "CARDINAL",
+      "DATE",
+      "EVENT",
+      "FAC",
+      "GPE",
+      "LANGUAGE",
+      "LAW",
+      "LOC",
+      "MONEY",
+      "NORP",
+      "ORDINAL",
+      "ORG",
+      "PERCENT",
+      "PERSON",
+      "PRODUCT",
+      "QUANTITY",
+      "TIME",
+      "WORK_OF_ART"
+    ]
+  },
+  "pipeline":[
+    "tok2vec",
+    "tagger",
+    "parser",
+    "attribute_ruler",
+    "ner"
+  ],
+  "components":[
+    "tok2vec",
+    "tagger",
+    "parser",
+    "senter",
+    "attribute_ruler",
+    "ner"
+  ],
+  "disabled":[
+    "senter"
+  ],
+  "performance":{
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+    "ents_p":0.7358998362,
+    "ents_r":0.6910989011,
+    "ents_f":0.7127961011,
+    "sents_p":0.7896445968,
+    "sents_r":0.7286499084,
+    "sents_f":0.7579220779,
+    "speed":9733.8076235494,
+    "dep_las_per_type":{
+      "dep":{
+        "p":0.4876810512,
+        "r":0.3299989896,
+        "f":0.3936362541
+      },
+      "case":{
+        "p":0.8168795974,
+        "r":0.7674587779,
+        "f":0.7913983872
+      },
+      "nmod:tmod":{
+        "p":0.7313237221,
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+        "f":0.7449933244
+      },
+      "nummod":{
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+      "mark:clf":{
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+      "auxpass":{
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+      },
+      "nsubj":{
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+      "acl":{
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+      "advmod":{
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+      "mark":{
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+        "f":0.7435008666
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+      "nmod:assmod":{
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+        "f":0.7516821532
+      },
+      "det":{
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+      "nmod:topic":{
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+      "aux:asp":{
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+      "conj":{
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+      "nsubjpass":{
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+      "ORG":{
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+      },
+      "LOC":{
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+      },
+      "QUANTITY":{
+        "p":0.7889908257,
+        "r":0.637037037,
+        "f":0.7049180328
+      },
+      "WORK_OF_ART":{
+        "p":0.5,
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+        "f":0.3644067797
+      },
+      "CARDINAL":{
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+        "r":0.5211693548,
+        "f":0.5641025641
+      },
+      "NORP":{
+        "p":0.6755952381,
+        "r":0.4768907563,
+        "f":0.5591133005
+      },
+      "TIME":{
+        "p":0.7365853659,
+        "r":0.7330097087,
+        "f":0.7347931873
+      },
+      "MONEY":{
+        "p":0.9322033898,
+        "r":0.8148148148,
+        "f":0.8695652174
+      },
+      "EVENT":{
+        "p":0.5681818182,
+        "r":0.3676470588,
+        "f":0.4464285714
+      },
+      "PERSON":{
+        "p":0.8077682686,
+        "r":0.7905927835,
+        "f":0.7990882449
+      },
+      "PERCENT":{
+        "p":0.7882352941,
+        "r":0.8072289157,
+        "f":0.7976190476
+      },
+      "PRODUCT":{
+        "p":0.0,
+        "r":0.0,
+        "f":0.0
+      },
+      "LAW":{
+        "p":0.3333333333,
+        "r":0.1,
+        "f":0.1538461538
+      },
+      "LANGUAGE":{
+        "p":0.5555555556,
+        "r":0.5555555556,
+        "f":0.5555555556
+      }
+    }
+  },
+  "sources":[
+    {
+      "name":"OntoNotes 5",
+      "url":"https://catalog.ldc.upenn.edu/LDC2013T19",
+      "license":"commercial (licensed by Explosion)",
+      "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"
+    },
+    {
+      "name":"CoreNLP Universal Dependencies Converter",
+      "url":"https://nlp.stanford.edu/software/stanford-dependencies.html",
+      "author":"Stanford NLP Group",
+      "license":"Citation provided for reference, no code packaged with model"
+    },
+    {
+      "name":"Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)",
+      "url":"https://spacy.io",
+      "license":"CC0",
+      "author":"Explosion"
+    }
+  ],
+  "requirements":[
+    "spacy-pkuseg>=0.0.27,<0.1.0"
+  ]
+}

ner/cfg

@@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":1,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}

ner/moves

@@ -0,0 +1 @@
+��moves��{"0":{},"1":{"GPE":15943,"ORG":15205,"DATE":14256,"PERSON":10912,"CARDINAL":7849,"TIME":2905,"NORP":2685,"EVENT":2602,"MONEY":2519,"LOC":2452,"FAC":2256,"WORK_OF_ART":2014,"QUANTITY":1717,"ORDINAL":1156,"PERCENT":852,"LAW":695,"PRODUCT":486,"LANGUAGE":336},"2":{"GPE":15943,"ORG":15205,"DATE":14256,"PERSON":10912,"CARDINAL":7849,"TIME":2905,"NORP":2685,"EVENT":2602,"MONEY":2519,"LOC":2452,"FAC":2256,"WORK_OF_ART":2014,"QUANTITY":1717,"ORDINAL":1156,"PERCENT":852,"LAW":695,"PRODUCT":486,"LANGUAGE":336},"3":{"GPE":15943,"ORG":15205,"DATE":14256,"PERSON":10912,"CARDINAL":7849,"TIME":2905,"NORP":2685,"EVENT":2602,"MONEY":2519,"LOC":2452,"FAC":2256,"WORK_OF_ART":2014,"QUANTITY":1717,"ORDINAL":1156,"PERCENT":852,"LAW":695,"PRODUCT":486,"LANGUAGE":336},"4":{"GPE":15943,"ORG":15205,"DATE":14256,"PERSON":10912,"CARDINAL":7849,"TIME":2905,"NORP":2685,"EVENT":2602,"MONEY":2519,"LOC":2452,"FAC":2256,"WORK_OF_ART":2014,"QUANTITY":1717,"ORDINAL":1156,"PERCENT":852,"LAW":695,"PRODUCT":486,"LANGUAGE":336,"":1},"5":{"":1}}�cfg��neg_key�

parser/cfg

@@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":30,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}

parser/moves

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senter/cfg

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tagger/cfg

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+    "SB",
+    "SP",
+    "URL",
+    "VA",
+    "VC",
+    "VE",
+    "VV",
+    "X"
+  ]
+}

tok2vec/cfg

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tokenizer/cfg

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