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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+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_md
+  results:
+  - tasks:
+      name: NER
+      type: token-classification
+      metrics:
+      - name: Precision
+        type: precision
+        value: 0.7220589964
+      - name: Recall
+        type: recall
+        value: 0.6751648352
+      - name: F Score
+        type: f_score
+        value: 0.6978249759
+  - tasks:
+      name: POS
+      type: token-classification
+      metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9004973002
+  - tasks:
+      name: SENTER
+      type: token-classification
+      metrics:
+      - name: Precision
+        type: precision
+        value: 0.7859447831
+      - name: Recall
+        type: recall
+        value: 0.7298152156
+      - name: F Score
+        type: f_score
+        value: 0.7568407423
+  - tasks:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+      metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7076909586
+  - tasks:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+      metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7076909586
+---
+### Details: https://spacy.io/models/zh#zh_core_web_md
+
+Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.
+
+| Feature | Description |
+| --- | --- |
+| **Name** | `zh_core_web_md` |
+| **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, 20000 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` | 90.05 |
+| `DEP_UAS` | 70.77 |
+| `DEP_LAS` | 65.52 |
+| `ENTS_P` | 72.21 |
+| `ENTS_R` | 67.52 |
+| `ENTS_F` | 69.78 |
+| `SENTS_P` | 78.59 |
+| `SENTS_R` | 72.98 |
+| `SENTS_F` | 75.68 |

accuracy.json

@@ -0,0 +1,332 @@
+{
+  "token_acc": 0.9788303388,
+  "tag_acc": 0.9004973002,
+  "dep_uas": 0.7076909586,
+  "dep_las": 0.6551856356,
+  "ents_p": 0.7220589964,
+  "ents_r": 0.6751648352,
+  "ents_f": 0.6978249759,
+  "sents_p": 0.7859447831,
+  "sents_r": 0.7298152156,
+  "sents_f": 0.7568407423,
+  "speed": 10063.789558808,
+  "dep_las_per_type": {
+    "dep": {
+      "p": 0.4941927991,
+      "r": 0.3439426089,
+      "f": 0.4056002383
+    },
+    "case": {
+      "p": 0.815348957,
+      "r": 0.7677012609,
+      "f": 0.790808043
+    },
+    "nmod:tmod": {
+      "p": 0.7291941876,
+      "r": 0.7510204082,
+      "f": 0.7399463807
+    },
+    "nummod": {
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+      "r": 0.5363091272,
+      "f": 0.652350081
+    },
+    "mark:clf": {
+      "p": 0.923958962,
+      "r": 0.5710555763,
+      "f": 0.7058552328
+    },
+    "auxpass": {
+      "p": 0.8864864865,
+      "r": 0.8864864865,
+      "f": 0.8864864865
+    },
+    "nsubj": {
+      "p": 0.7838943894,
+      "r": 0.7293944233,
+      "f": 0.7556630186
+    },
+    "acl": {
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+      "r": 0.5501941209,
+      "f": 0.6194192944
+    },
+    "advmod": {
+      "p": 0.8221938776,
+      "r": 0.7306733167,
+      "f": 0.7737366463
+    },
+    "mark": {
+      "p": 0.7447306792,
+      "r": 0.6967572305,
+      "f": 0.7199456645
+    },
+    "xcomp": {
+      "p": 0.7822878229,
+      "r": 0.6905537459,
+      "f": 0.7335640138
+    },
+    "nmod:assmod": {
+      "p": 0.7571008815,
+      "r": 0.7217553688,
+      "f": 0.7390057361
+    },
+    "det": {
+      "p": 0.8367670365,
+      "r": 0.618629174,
+      "f": 0.7113506231
+    },
+    "amod": {
+      "p": 0.7567811935,
+      "r": 0.6575019639,
+      "f": 0.7036569987
+    },
+    "nmod:prep": {
+      "p": 0.6989096025,
+      "r": 0.6010284332,
+      "f": 0.6462839486
+    },
+    "root": {
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+    "aux:prtmod": {
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+      "r": 0.825,
+      "f": 0.8635514019
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+    "compound:nn": {
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+      "r": 0.700676819,
+      "f": 0.716932133
+    },
+    "dobj": {
+      "p": 0.802248996,
+      "r": 0.7397422604,
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+    },
+    "ccomp": {
+      "p": 0.6483430799,
+      "r": 0.6465785381,
+      "f": 0.6474596068
+    },
+    "advmod:rcomp": {
+      "p": 0.8196202532,
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+      "f": 0.765140325
+    },
+    "nmod:topic": {
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+    "cop": {
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+    "discourse": {
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+    "neg": {
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+      "f": 0.6563876652
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+      "r": 0.8085106383,
+      "f": 0.8260869565
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+    "advmod:loc": {
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+      "r": 0.4747774481,
+      "f": 0.5351170569
+    },
+    "aux:asp": {
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+      "r": 0.8740031898,
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+    "conj": {
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+      "r": 0.5149338374,
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+    },
+    "nsubjpass": {
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+      "r": 0.68,
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+    },
+    "compound:vc": {
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+    "advmod:dvp": {
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+    "appos": {
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+      "f": 0.8402366864
+    },
+    "name": {
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+      "f": 0.5101214575
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+    "parataxis:prnmod": {
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+    },
+    "nmod:poss": {
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+    },
+    "nsubj:xsubj": {
+      "p": 0.0,
+      "r": 0.0,
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+    "nmod:range": {
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+      "f": 0.6845878136
+    },
+    "amod:ordmod": {
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+    "erased": {
+      "p": 0.0,
+      "r": 0.0,
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+    "etc": {
+      "p": 0.9268292683,
+      "r": 0.9047619048,
+      "f": 0.9156626506
+    }
+  },
+  "ents_per_type": {
+    "DATE": {
+      "p": 0.758780037,
+      "r": 0.8136769078,
+      "f": 0.7852702056
+    },
+    "GPE": {
+      "p": 0.7517889088,
+      "r": 0.8216031281,
+      "f": 0.7851471275
+    },
+    "ORDINAL": {
+      "p": 0.8720930233,
+      "r": 0.7894736842,
+      "f": 0.8287292818
+    },
+    "FAC": {
+      "p": 0.5076923077,
+      "r": 0.3548387097,
+      "f": 0.417721519
+    },
+    "PERSON": {
+      "p": 0.7917511832,
+      "r": 0.7545103093,
+      "f": 0.7726822831
+    },
+    "ORG": {
+      "p": 0.6896831844,
+      "r": 0.6461187215,
+      "f": 0.6671905697
+    },
+    "QUANTITY": {
+      "p": 0.7706422018,
+      "r": 0.6222222222,
+      "f": 0.6885245902
+    },
+    "CARDINAL": {
+      "p": 0.6181818182,
+      "r": 0.5141129032,
+      "f": 0.5613648872
+    },
+    "LOC": {
+      "p": 0.5247148289,
+      "r": 0.3709677419,
+      "f": 0.4346456693
+    },
+    "TIME": {
+      "p": 0.7209302326,
+      "r": 0.7524271845,
+      "f": 0.7363420428
+    },
+    "NORP": {
+      "p": 0.6646153846,
+      "r": 0.4537815126,
+      "f": 0.5393258427
+    },
+    "WORK_OF_ART": {
+      "p": 0.5733333333,
+      "r": 0.2866666667,
+      "f": 0.3822222222
+    },
+    "PRODUCT": {
+      "p": 0.2,
+      "r": 0.0612244898,
+      "f": 0.09375
+    },
+    "MONEY": {
+      "p": 0.9230769231,
+      "r": 0.8,
+      "f": 0.8571428571
+    },
+    "PERCENT": {
+      "p": 0.7613636364,
+      "r": 0.8072289157,
+      "f": 0.783625731
+    },
+    "EVENT": {
+      "p": 0.5688073394,
+      "r": 0.4558823529,
+      "f": 0.506122449
+    },
+    "LAW": {
+      "p": 0.4814814815,
+      "r": 0.2166666667,
+      "f": 0.2988505747
+    },
+    "LANGUAGE": {
+      "p": 0.6363636364,
+      "r": 0.7777777778,
+      "f": 0.7
+    }
+  }
+}

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_md",
+  "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":20000,
+    "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":0.7220589964,
+    "ents_r":0.6751648352,
+    "ents_f":0.6978249759,
+    "sents_p":0.7859447831,
+    "sents_r":0.7298152156,
+    "sents_f":0.7568407423,
+    "speed":10063.789558808,
+    "dep_las_per_type":{
+      "dep":{
+        "p":0.4941927991,
+        "r":0.3439426089,
+        "f":0.4056002383
+      },
+      "case":{
+        "p":0.815348957,
+        "r":0.7677012609,
+        "f":0.790808043
+      },
+      "nmod:tmod":{
+        "p":0.7291941876,
+        "r":0.7510204082,
+        "f":0.7399463807
+      },
+      "nummod":{
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+        "f":0.652350081
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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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+      "det":{
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+      "aux:asp":{
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+    "ents_per_type":{
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+      "ORG":{
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+      "QUANTITY":{
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+      "CARDINAL":{
+        "p":0.6181818182,
+        "r":0.5141129032,
+        "f":0.5613648872
+      },
+      "LOC":{
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+        "r":0.3709677419,
+        "f":0.4346456693
+      },
+      "TIME":{
+        "p":0.7209302326,
+        "r":0.7524271845,
+        "f":0.7363420428
+      },
+      "NORP":{
+        "p":0.6646153846,
+        "r":0.4537815126,
+        "f":0.5393258427
+      },
+      "WORK_OF_ART":{
+        "p":0.5733333333,
+        "r":0.2866666667,
+        "f":0.3822222222
+      },
+      "PRODUCT":{
+        "p":0.2,
+        "r":0.0612244898,
+        "f":0.09375
+      },
+      "MONEY":{
+        "p":0.9230769231,
+        "r":0.8,
+        "f":0.8571428571
+      },
+      "PERCENT":{
+        "p":0.7613636364,
+        "r":0.8072289157,
+        "f":0.783625731
+      },
+      "EVENT":{
+        "p":0.5688073394,
+        "r":0.4558823529,
+        "f":0.506122449
+      },
+      "LAW":{
+        "p":0.4814814815,
+        "r":0.2166666667,
+        "f":0.2988505747
+      },
+      "LANGUAGE":{
+        "p":0.6363636364,
+        "r":0.7777777778,
+        "f":0.7
+      }
+    }
+  },
+  "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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+  ]
+}

tok2vec/cfg

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tokenizer/cfg

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