Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +69 -0
- config.cfg +175 -0
- en_docusco_spacy_cd-any-py3-none-any.whl +3 -0
- meta.json +419 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- tagger/cfg +256 -0
- tagger/model +0 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
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@@ -32,3 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst 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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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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en_docusco_spacy_cd-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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tok2vec/model filter=lfs diff=lfs merge=lfs -text
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README.md
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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_docusco_spacy_cd
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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: 0.7896141572
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- name: NER Recall
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type: recall
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value: 0.7757775447
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- name: NER F Score
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type: f_score
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value: 0.7826346995
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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: 0.9734866573
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---
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English pipeline for part-of-speech and rhetorical tagging using a smaller 'common dictionary'.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_docusco_spacy_cd` |
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| **Version** | `1.2` |
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| **spaCy** | `>=3.5.0,<3.6.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | `MIT` |
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| **Author** | [David Brown](https://docuscope.github.io) |
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### Label Scheme
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<details>
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<summary>View label scheme (270 labels for 2 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `APPGE`, `AT`, `AT1`, `BCL21`, `BCL22`, `CC`, `CCB`, `CS`, `CS21`, `CS22`, `CS31`, `CS32`, `CS33`, `CS41`, `CS42`, `CS43`, `CS44`, `CSA`, `CSN`, `CST`, `CSW`, `CSW31`, `CSW32`, `CSW33`, `DA`, `DA1`, `DA2`, `DAR`, `DAT`, `DB`, `DB2`, `DD`, `DD1`, `DD2`, `DDQ`, `DDQGE`, `DDQV`, `DDQV31`, `DDQV32`, `DDQV33`, `EX`, `FO`, `FU`, `FW`, `GE`, `IF`, `II`, `II21`, `II22`, `II31`, `II32`, `II33`, `II41`, `II42`, `II43`, `II44`, `IO`, `IW`, `JJ`, `JJ21`, `JJ22`, `JJ31`, `JJ32`, `JJ33`, `JJR`, `JJT`, `JK`, `MC`, `MC1`, `MC2`, `MC221`, `MC222`, `MCMC`, `MD`, `MF`, `ND1`, `NN`, `NN1`, `NN121`, `NN122`, `NN131`, `NN132`, `NN133`, `NN141`, `NN142`, `NN143`, `NN144`, `NN2`, `NN21`, `NN22`, `NN221`, `NN222`, `NN231`, `NN232`, `NN233`, `NN31`, `NN33`, `NNA`, `NNB`, `NNL1`, `NNL2`, `NNO`, `NNO2`, `NNT1`, `NNT2`, `NNU`, `NNU1`, `NNU2`, `NNU21`, `NNU22`, `NP`, `NP1`, `NP2`, `NPD1`, `NPD2`, `NPM1`, `NPM2`, `PN`, `PN1`, `PN121`, `PN122`, `PN21`, `PN22`, `PNQO`, `PNQS`, `PNQS31`, `PNQS32`, `PNQS33`, `PNQV`, `PNX1`, `PPGE`, `PPH1`, `PPHO1`, `PPHO2`, `PPHS1`, `PPHS2`, `PPIO1`, `PPIO2`, `PPIS1`, `PPIS2`, `PPX1`, `PPX121`, `PPX122`, `PPX2`, `PPX221`, `PPX222`, `PPY`, `RA`, `RA21`, `RA22`, `REX`, `REX21`, `REX22`, `REX41`, `REX42`, `REX43`, `REX44`, `RG`, `RG21`, `RG22`, `RGQ`, `RGQV`, `RGQV31`, `RGQV32`, `RGQV33`, `RGR`, `RGT`, `RL`, `RL21`, `RL22`, `RP`, `RPK`, `RR`, `RR21`, `RR22`, `RR31`, `RR32`, `RR33`, `RR41`, `RR42`, `RR43`, `RR44`, `RR51`, `RR52`, `RR53`, `RR54`, `RR55`, `RRQ`, `RRQV`, `RRQV31`, `RRQV32`, `RRQV33`, `RRR`, `RRT`, `RT`, `RT21`, `RT22`, `RT31`, `RT32`, `RT33`, `RT41`, `RT42`, `RT43`, `RT44`, `TO`, `UH`, `UH21`, `UH22`, `UH31`, `UH32`, `UH33`, `VB0`, `VBDR`, `VBDZ`, `VBG`, `VBI`, `VBM`, `VBN`, `VBR`, `VBZ`, `VD0`, `VDD`, `VDG`, `VDI`, `VDN`, `VDZ`, `VH0`, `VHD`, `VHG`, `VHI`, `VHN`, `VHZ`, `VM`, `VM21`, `VM22`, `VMK`, `VV0`, `VVD`, `VVG`, `VVGK`, `VVI`, `VVN`, `VVNK`, `VVZ`, `XX`, `Y`, `ZZ1`, `ZZ2`, `ZZ221`, `ZZ222` |
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| **`ner`** | `ActorsAbstractions`, `ActorsFirstPerson`, `ActorsPeople`, `ActorsPublicEntities`, `CitationAuthority`, `CitationControversy`, `CitationHedged`, `CitationNeutral`, `ConfidenceHedged`, `ConfidenceHigh`, `OrganizationNarrative`, `OrganizationReasoning`, `PlanningFuture`, `PlanningStrategy`, `SentimentNegative`, `SentimentPositive`, `SignpostingAcademicWritingMoves`, `SignpostingMetadiscourse`, `StanceEmphatic`, `StanceModerated` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TAG_ACC` | 97.35 |
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| `ENTS_F` | 78.26 |
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| `ENTS_P` | 78.96 |
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| `ENTS_R` | 77.58 |
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| `TOK2VEC_LOSS` | 5937424.94 |
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| `TAGGER_LOSS` | 1136040.49 |
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| `NER_LOSS` | 3941726.32 |
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config.cfg
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[paths]
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train = ""
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dev = ""
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = null
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seed = 0
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[nlp]
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lang = "en"
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pipeline = ["tok2vec","tagger","ner"]
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batch_size = 1000
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disabled = []
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before_creation = null
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after_creation = null
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after_pipeline_creation = null
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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moves = null
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scorer = {"@scorers":"spacy.ner_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.ner.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "ner"
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extra_state_tokens = false
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hidden_width = 64
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maxout_pieces = 2
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use_upper = true
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode.width}
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upstream = "*"
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[components.tagger]
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factory = "tagger"
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neg_prefix = "!"
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overwrite = false
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scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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[components.tagger.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.tagger.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode.width}
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upstream = "*"
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[components.tok2vec]
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factory = "tok2vec"
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[components.tok2vec.model]
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@architectures = "spacy.Tok2Vec.v2"
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[components.tok2vec.model.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = ${components.tok2vec.model.encode.width}
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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rows = [5000,1000,2500,2500]
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include_static_vectors = false
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[components.tok2vec.model.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 96
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depth = 4
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window_size = 1
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maxout_pieces = 3
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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accumulate_gradient = 1
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patience = 1600
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max_epochs = 0
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max_steps = 35000
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eval_frequency = 250
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frozen_components = []
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annotating_components = []
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before_to_disk = null
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before_update = null
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[training.batcher]
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@batchers = "spacy.batch_by_words.v1"
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discard_oversize = false
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tolerance = 0.2
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get_length = null
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[training.batcher.size]
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@schedules = "compounding.v1"
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start = 100
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stop = 1000
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compound = 1.001
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t = 0.0
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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[training.optimizer]
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@optimizers = "Adam.v1"
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beta1 = 0.9
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beta2 = 0.999
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L2_is_weight_decay = true
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L2 = 0.01
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grad_clip = 1.0
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use_averages = false
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eps = 0.00000001
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learn_rate = 0.001
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[training.score_weights]
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tag_acc = 0.5
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ents_f = 0.5
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ents_p = 0.0
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ents_r = 0.0
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ents_per_type = null
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[pretraining]
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[initialize]
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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vocab_data = null
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lookups = null
|
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before_init = null
|
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after_init = null
|
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[initialize.components]
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|
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[initialize.components.ner]
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[initialize.components.ner.labels]
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@readers = "spacy.read_labels.v1"
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path = "ner.json"
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require = false
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|
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[initialize.components.tagger]
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[initialize.components.tagger.labels]
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@readers = "spacy.read_labels.v1"
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path = "tagger.json"
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require = false
|
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|
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[initialize.tokenizer]
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en_docusco_spacy_cd-any-py3-none-any.whl
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1fc8685dd2f705596754da88344d1b98cb6283710de43c2cc6f2710c0ce5b8e
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size 6956762
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meta.json
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|
1 |
+
{
|
2 |
+
"lang":"en",
|
3 |
+
"name":"docusco_spacy_cd",
|
4 |
+
"version":"1.2",
|
5 |
+
"description":"English pipeline for part-of-speech and rhetorical tagging using a smaller 'common dictionary'.",
|
6 |
+
"author":"David Brown",
|
7 |
+
"email":"dwb2@andrew.cmu.edu",
|
8 |
+
"url":"https://docuscope.github.io",
|
9 |
+
"license":"MIT",
|
10 |
+
"spacy_git_version":"Unknown",
|
11 |
+
"vectors":{
|
12 |
+
"width":0,
|
13 |
+
"vectors":0,
|
14 |
+
"keys":0,
|
15 |
+
"name":null
|
16 |
+
},
|
17 |
+
"labels":{
|
18 |
+
"tok2vec":[
|
19 |
+
|
20 |
+
],
|
21 |
+
"tagger":[
|
22 |
+
"APPGE",
|
23 |
+
"AT",
|
24 |
+
"AT1",
|
25 |
+
"BCL21",
|
26 |
+
"BCL22",
|
27 |
+
"CC",
|
28 |
+
"CCB",
|
29 |
+
"CS",
|
30 |
+
"CS21",
|
31 |
+
"CS22",
|
32 |
+
"CS31",
|
33 |
+
"CS32",
|
34 |
+
"CS33",
|
35 |
+
"CS41",
|
36 |
+
"CS42",
|
37 |
+
"CS43",
|
38 |
+
"CS44",
|
39 |
+
"CSA",
|
40 |
+
"CSN",
|
41 |
+
"CST",
|
42 |
+
"CSW",
|
43 |
+
"CSW31",
|
44 |
+
"CSW32",
|
45 |
+
"CSW33",
|
46 |
+
"DA",
|
47 |
+
"DA1",
|
48 |
+
"DA2",
|
49 |
+
"DAR",
|
50 |
+
"DAT",
|
51 |
+
"DB",
|
52 |
+
"DB2",
|
53 |
+
"DD",
|
54 |
+
"DD1",
|
55 |
+
"DD2",
|
56 |
+
"DDQ",
|
57 |
+
"DDQGE",
|
58 |
+
"DDQV",
|
59 |
+
"DDQV31",
|
60 |
+
"DDQV32",
|
61 |
+
"DDQV33",
|
62 |
+
"EX",
|
63 |
+
"FO",
|
64 |
+
"FU",
|
65 |
+
"FW",
|
66 |
+
"GE",
|
67 |
+
"IF",
|
68 |
+
"II",
|
69 |
+
"II21",
|
70 |
+
"II22",
|
71 |
+
"II31",
|
72 |
+
"II32",
|
73 |
+
"II33",
|
74 |
+
"II41",
|
75 |
+
"II42",
|
76 |
+
"II43",
|
77 |
+
"II44",
|
78 |
+
"IO",
|
79 |
+
"IW",
|
80 |
+
"JJ",
|
81 |
+
"JJ21",
|
82 |
+
"JJ22",
|
83 |
+
"JJ31",
|
84 |
+
"JJ32",
|
85 |
+
"JJ33",
|
86 |
+
"JJR",
|
87 |
+
"JJT",
|
88 |
+
"JK",
|
89 |
+
"MC",
|
90 |
+
"MC1",
|
91 |
+
"MC2",
|
92 |
+
"MC221",
|
93 |
+
"MC222",
|
94 |
+
"MCMC",
|
95 |
+
"MD",
|
96 |
+
"MF",
|
97 |
+
"ND1",
|
98 |
+
"NN",
|
99 |
+
"NN1",
|
100 |
+
"NN121",
|
101 |
+
"NN122",
|
102 |
+
"NN131",
|
103 |
+
"NN132",
|
104 |
+
"NN133",
|
105 |
+
"NN141",
|
106 |
+
"NN142",
|
107 |
+
"NN143",
|
108 |
+
"NN144",
|
109 |
+
"NN2",
|
110 |
+
"NN21",
|
111 |
+
"NN22",
|
112 |
+
"NN221",
|
113 |
+
"NN222",
|
114 |
+
"NN231",
|
115 |
+
"NN232",
|
116 |
+
"NN233",
|
117 |
+
"NN31",
|
118 |
+
"NN33",
|
119 |
+
"NNA",
|
120 |
+
"NNB",
|
121 |
+
"NNL1",
|
122 |
+
"NNL2",
|
123 |
+
"NNO",
|
124 |
+
"NNO2",
|
125 |
+
"NNT1",
|
126 |
+
"NNT2",
|
127 |
+
"NNU",
|
128 |
+
"NNU1",
|
129 |
+
"NNU2",
|
130 |
+
"NNU21",
|
131 |
+
"NNU22",
|
132 |
+
"NP",
|
133 |
+
"NP1",
|
134 |
+
"NP2",
|
135 |
+
"NPD1",
|
136 |
+
"NPD2",
|
137 |
+
"NPM1",
|
138 |
+
"NPM2",
|
139 |
+
"PN",
|
140 |
+
"PN1",
|
141 |
+
"PN121",
|
142 |
+
"PN122",
|
143 |
+
"PN21",
|
144 |
+
"PN22",
|
145 |
+
"PNQO",
|
146 |
+
"PNQS",
|
147 |
+
"PNQS31",
|
148 |
+
"PNQS32",
|
149 |
+
"PNQS33",
|
150 |
+
"PNQV",
|
151 |
+
"PNX1",
|
152 |
+
"PPGE",
|
153 |
+
"PPH1",
|
154 |
+
"PPHO1",
|
155 |
+
"PPHO2",
|
156 |
+
"PPHS1",
|
157 |
+
"PPHS2",
|
158 |
+
"PPIO1",
|
159 |
+
"PPIO2",
|
160 |
+
"PPIS1",
|
161 |
+
"PPIS2",
|
162 |
+
"PPX1",
|
163 |
+
"PPX121",
|
164 |
+
"PPX122",
|
165 |
+
"PPX2",
|
166 |
+
"PPX221",
|
167 |
+
"PPX222",
|
168 |
+
"PPY",
|
169 |
+
"RA",
|
170 |
+
"RA21",
|
171 |
+
"RA22",
|
172 |
+
"REX",
|
173 |
+
"REX21",
|
174 |
+
"REX22",
|
175 |
+
"REX41",
|
176 |
+
"REX42",
|
177 |
+
"REX43",
|
178 |
+
"REX44",
|
179 |
+
"RG",
|
180 |
+
"RG21",
|
181 |
+
"RG22",
|
182 |
+
"RGQ",
|
183 |
+
"RGQV",
|
184 |
+
"RGQV31",
|
185 |
+
"RGQV32",
|
186 |
+
"RGQV33",
|
187 |
+
"RGR",
|
188 |
+
"RGT",
|
189 |
+
"RL",
|
190 |
+
"RL21",
|
191 |
+
"RL22",
|
192 |
+
"RP",
|
193 |
+
"RPK",
|
194 |
+
"RR",
|
195 |
+
"RR21",
|
196 |
+
"RR22",
|
197 |
+
"RR31",
|
198 |
+
"RR32",
|
199 |
+
"RR33",
|
200 |
+
"RR41",
|
201 |
+
"RR42",
|
202 |
+
"RR43",
|
203 |
+
"RR44",
|
204 |
+
"RR51",
|
205 |
+
"RR52",
|
206 |
+
"RR53",
|
207 |
+
"RR54",
|
208 |
+
"RR55",
|
209 |
+
"RRQ",
|
210 |
+
"RRQV",
|
211 |
+
"RRQV31",
|
212 |
+
"RRQV32",
|
213 |
+
"RRQV33",
|
214 |
+
"RRR",
|
215 |
+
"RRT",
|
216 |
+
"RT",
|
217 |
+
"RT21",
|
218 |
+
"RT22",
|
219 |
+
"RT31",
|
220 |
+
"RT32",
|
221 |
+
"RT33",
|
222 |
+
"RT41",
|
223 |
+
"RT42",
|
224 |
+
"RT43",
|
225 |
+
"RT44",
|
226 |
+
"TO",
|
227 |
+
"UH",
|
228 |
+
"UH21",
|
229 |
+
"UH22",
|
230 |
+
"UH31",
|
231 |
+
"UH32",
|
232 |
+
"UH33",
|
233 |
+
"VB0",
|
234 |
+
"VBDR",
|
235 |
+
"VBDZ",
|
236 |
+
"VBG",
|
237 |
+
"VBI",
|
238 |
+
"VBM",
|
239 |
+
"VBN",
|
240 |
+
"VBR",
|
241 |
+
"VBZ",
|
242 |
+
"VD0",
|
243 |
+
"VDD",
|
244 |
+
"VDG",
|
245 |
+
"VDI",
|
246 |
+
"VDN",
|
247 |
+
"VDZ",
|
248 |
+
"VH0",
|
249 |
+
"VHD",
|
250 |
+
"VHG",
|
251 |
+
"VHI",
|
252 |
+
"VHN",
|
253 |
+
"VHZ",
|
254 |
+
"VM",
|
255 |
+
"VM21",
|
256 |
+
"VM22",
|
257 |
+
"VMK",
|
258 |
+
"VV0",
|
259 |
+
"VVD",
|
260 |
+
"VVG",
|
261 |
+
"VVGK",
|
262 |
+
"VVI",
|
263 |
+
"VVN",
|
264 |
+
"VVNK",
|
265 |
+
"VVZ",
|
266 |
+
"XX",
|
267 |
+
"Y",
|
268 |
+
"ZZ1",
|
269 |
+
"ZZ2",
|
270 |
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"ZZ221",
|
271 |
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"ZZ222"
|
272 |
+
],
|
273 |
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"ner":[
|
274 |
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|
275 |
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"ActorsFirstPerson",
|
276 |
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"ActorsPeople",
|
277 |
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"ActorsPublicEntities",
|
278 |
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|
279 |
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"CitationControversy",
|
280 |
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|
281 |
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"CitationNeutral",
|
282 |
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"ConfidenceHedged",
|
283 |
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|
284 |
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|
285 |
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|
286 |
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"PlanningFuture",
|
287 |
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"PlanningStrategy",
|
288 |
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"SentimentNegative",
|
289 |
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"SentimentPositive",
|
290 |
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|
291 |
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"SignpostingMetadiscourse",
|
292 |
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"StanceEmphatic",
|
293 |
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"StanceModerated"
|
294 |
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]
|
295 |
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},
|
296 |
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"pipeline":[
|
297 |
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|
298 |
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|
299 |
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|
300 |
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],
|
301 |
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303 |
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304 |
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|
305 |
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],
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306 |
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|
308 |
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],
|
309 |
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|
310 |
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311 |
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313 |
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314 |
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|
316 |
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317 |
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"r":0.8443950279,
|
318 |
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"f":0.8310325477
|
319 |
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},
|
320 |
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"ActorsPeople":{
|
321 |
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"p":0.855646716,
|
322 |
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"r":0.8830180997,
|
323 |
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"f":0.8691169573
|
324 |
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},
|
325 |
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|
326 |
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|
327 |
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"r":0.7425267908,
|
328 |
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"f":0.7475865985
|
329 |
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},
|
330 |
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|
331 |
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|
332 |
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"r":0.6414706491,
|
333 |
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"f":0.6735571909
|
334 |
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},
|
335 |
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|
336 |
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|
337 |
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|
338 |
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"f":0.7928762968
|
339 |
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},
|
340 |
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|
341 |
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|
342 |
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|
343 |
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|
344 |
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},
|
345 |
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346 |
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|
347 |
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"r":0.5615511249,
|
348 |
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"f":0.60290652
|
349 |
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},
|
350 |
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|
351 |
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"p":0.7794650481,
|
352 |
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"r":0.7044971007,
|
353 |
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"f":0.74008743
|
354 |
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},
|
355 |
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"PlanningFuture":{
|
356 |
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"p":0.7692376361,
|
357 |
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"r":0.7372518823,
|
358 |
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|
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"SignpostingMetadiscourse":{
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|
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|
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|
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|
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|
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"StanceModerated":{
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"p":0.7352631579,
|
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"f":0.7459618209
|
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|
410 |
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|
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"tok2vec_loss":59374.2493771126,
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"tagger_loss":11360.4048709869,
|
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"ner_loss":39417.2632061559
|
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},
|
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"spacy_version":">=3.5.0,<3.6.0",
|
416 |
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"requirements":[
|
417 |
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|
418 |
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]
|
419 |
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}
|
ner/cfg
ADDED
@@ -0,0 +1,13 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"moves":null,
|
3 |
+
"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
+
|
6 |
+
],
|
7 |
+
"min_action_freq":1,
|
8 |
+
"learn_tokens":false,
|
9 |
+
"beam_width":1,
|
10 |
+
"beam_density":0.0,
|
11 |
+
"beam_update_prob":0.0,
|
12 |
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"incorrect_spans_key":null
|
13 |
+
}
|
ner/model
ADDED
Binary file (147 kB). View file
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|
ner/moves
ADDED
@@ -0,0 +1 @@
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|
|
|
|
1 |
+
��moves��{"0":{},"1":{"ActorsAbstractions":574624,"SentimentNegative":498816,"ActorsPeople":490889,"SentimentPositive":329200,"OrganizationNarrative":327795,"SignpostingMetadiscourse":287016,"ActorsFirstPerson":242625,"OrganizationReasoning":182969,"StanceEmphatic":148909,"ActorsPublicEntities":141388,"ConfidenceHedged":132889,"ConfidenceHigh":117539,"PlanningFuture":91199,"PlanningStrategy":77436,"SignpostingAcademicWritingMoves":45355,"CitationNeutral":28827,"StanceModerated":24999,"CitationAuthority":24695,"CitationControversy":7780,"CitationHedged":3},"2":{"ActorsAbstractions":574624,"SentimentNegative":498816,"ActorsPeople":490889,"SentimentPositive":329200,"OrganizationNarrative":327795,"SignpostingMetadiscourse":287016,"ActorsFirstPerson":242625,"OrganizationReasoning":182969,"StanceEmphatic":148909,"ActorsPublicEntities":141388,"ConfidenceHedged":132889,"ConfidenceHigh":117539,"PlanningFuture":91199,"PlanningStrategy":77436,"SignpostingAcademicWritingMoves":45355,"CitationNeutral":28827,"StanceModerated":24999,"CitationAuthority":24695,"CitationControversy":7780,"CitationHedged":3},"3":{"ActorsAbstractions":574624,"SentimentNegative":498816,"ActorsPeople":490889,"SentimentPositive":329200,"OrganizationNarrative":327795,"SignpostingMetadiscourse":287016,"ActorsFirstPerson":242625,"OrganizationReasoning":182969,"StanceEmphatic":148909,"ActorsPublicEntities":141388,"ConfidenceHedged":132889,"ConfidenceHigh":117539,"PlanningFuture":91199,"PlanningStrategy":77436,"SignpostingAcademicWritingMoves":45355,"CitationNeutral":28827,"StanceModerated":24999,"CitationAuthority":24695,"CitationControversy":7780,"CitationHedged":3},"4":{"ActorsAbstractions":574624,"SentimentNegative":498816,"ActorsPeople":490889,"SentimentPositive":329200,"OrganizationNarrative":327795,"SignpostingMetadiscourse":287016,"ActorsFirstPerson":242625,"OrganizationReasoning":182969,"StanceEmphatic":148909,"ActorsPublicEntities":141388,"ConfidenceHedged":132889,"ConfidenceHigh":117539,"PlanningFuture":91199,"PlanningStrategy":77436,"SignpostingAcademicWritingMoves":45355,"CitationNeutral":28827,"StanceModerated":24999,"CitationAuthority":24695,"CitationControversy":7780,"CitationHedged":3,"":1},"5":{"":1}}�cfg��neg_key�
|
tagger/cfg
ADDED
@@ -0,0 +1,256 @@
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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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|
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|
|
|
|
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|
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|
|
|
|
|
|
|
1 |
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{
|
2 |
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"labels":[
|
3 |
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|
4 |
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"AT",
|
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6 |
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|
7 |
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|
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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13 |
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|
14 |
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|
15 |
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|
16 |
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"CS41",
|
17 |
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|
18 |
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|
19 |
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|
20 |
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"CSA",
|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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"EX",
|
44 |
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|
45 |
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|
46 |
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|
47 |
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|
48 |
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"IF",
|
49 |
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"II",
|
50 |
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"II21",
|
51 |
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|
52 |
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|
53 |
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|
54 |
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|
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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"IO",
|
60 |
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|
61 |
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|
62 |
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|
63 |
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|
64 |
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"JJ31",
|
65 |
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"JJ32",
|
66 |
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"JJ33",
|
67 |
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"JJR",
|
68 |
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"JJT",
|
69 |
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"JK",
|
70 |
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"MC",
|
71 |
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|
72 |
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"MC2",
|
73 |
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"MC221",
|
74 |
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"MC222",
|
75 |
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"MCMC",
|
76 |
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"MD",
|
77 |
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"MF",
|
78 |
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|
79 |
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|
80 |
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|
81 |
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|
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|
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|
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|
86 |
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|
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88 |
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|
89 |
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|
90 |
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|
91 |
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|
92 |
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93 |
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94 |
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95 |
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|
96 |
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|
97 |
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|
98 |
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|
99 |
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|
100 |
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|
101 |
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|
102 |
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|
103 |
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|
104 |
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|
105 |
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|
106 |
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|
107 |
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"NNT2",
|
108 |
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|
109 |
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|
110 |
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|
111 |
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|
112 |
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"NNU22",
|
113 |
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"NP",
|
114 |
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|
115 |
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"NP2",
|
116 |
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|
117 |
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|
118 |
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"NPM1",
|
119 |
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|
120 |
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"PN",
|
121 |
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|
122 |
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"PN121",
|
123 |
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"PN122",
|
124 |
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"PN21",
|
125 |
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"PN22",
|
126 |
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"PNQO",
|
127 |
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"PNQS",
|
128 |
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"PNQS31",
|
129 |
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"PNQS32",
|
130 |
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"PNQS33",
|
131 |
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"PNQV",
|
132 |
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"PNX1",
|
133 |
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"PPGE",
|
134 |
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"PPH1",
|
135 |
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"PPHO1",
|
136 |
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"PPHO2",
|
137 |
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"PPHS1",
|
138 |
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"PPHS2",
|
139 |
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"PPIO1",
|
140 |
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"PPIO2",
|
141 |
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"PPIS1",
|
142 |
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"PPIS2",
|
143 |
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"PPX1",
|
144 |
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"PPX121",
|
145 |
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"PPX122",
|
146 |
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"PPX2",
|
147 |
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"PPX221",
|
148 |
+
"PPX222",
|
149 |
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"PPY",
|
150 |
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"RA",
|
151 |
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"RA21",
|
152 |
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"RA22",
|
153 |
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"REX",
|
154 |
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"REX21",
|
155 |
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"REX22",
|
156 |
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"REX41",
|
157 |
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"REX42",
|
158 |
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"REX43",
|
159 |
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"REX44",
|
160 |
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"RG",
|
161 |
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"RG21",
|
162 |
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"RG22",
|
163 |
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"RGQ",
|
164 |
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"RGQV",
|
165 |
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"RGQV31",
|
166 |
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"RGQV32",
|
167 |
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"RGQV33",
|
168 |
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"RGR",
|
169 |
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"RGT",
|
170 |
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"RL",
|
171 |
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"RL21",
|
172 |
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"RL22",
|
173 |
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"RP",
|
174 |
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"RPK",
|
175 |
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"RR",
|
176 |
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"RR21",
|
177 |
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"RR22",
|
178 |
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"RR31",
|
179 |
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"RR32",
|
180 |
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"RR33",
|
181 |
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"RR41",
|
182 |
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"RR42",
|
183 |
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"RR43",
|
184 |
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"RR44",
|
185 |
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"RR51",
|
186 |
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"RR52",
|
187 |
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"RR53",
|
188 |
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"RR54",
|
189 |
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"RR55",
|
190 |
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"RRQ",
|
191 |
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"RRQV",
|
192 |
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"RRQV31",
|
193 |
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"RRQV32",
|
194 |
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"RRQV33",
|
195 |
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"RRR",
|
196 |
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"RRT",
|
197 |
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"RT",
|
198 |
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"RT21",
|
199 |
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"RT22",
|
200 |
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"RT31",
|
201 |
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"RT32",
|
202 |
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"RT33",
|
203 |
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"RT41",
|
204 |
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"RT42",
|
205 |
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"RT43",
|
206 |
+
"RT44",
|
207 |
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"TO",
|
208 |
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"UH",
|
209 |
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"UH21",
|
210 |
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"UH22",
|
211 |
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"UH31",
|
212 |
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"UH32",
|
213 |
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"UH33",
|
214 |
+
"VB0",
|
215 |
+
"VBDR",
|
216 |
+
"VBDZ",
|
217 |
+
"VBG",
|
218 |
+
"VBI",
|
219 |
+
"VBM",
|
220 |
+
"VBN",
|
221 |
+
"VBR",
|
222 |
+
"VBZ",
|
223 |
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"VD0",
|
224 |
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"VDD",
|
225 |
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"VDG",
|
226 |
+
"VDI",
|
227 |
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"VDN",
|
228 |
+
"VDZ",
|
229 |
+
"VH0",
|
230 |
+
"VHD",
|
231 |
+
"VHG",
|
232 |
+
"VHI",
|
233 |
+
"VHN",
|
234 |
+
"VHZ",
|
235 |
+
"VM",
|
236 |
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"VM21",
|
237 |
+
"VM22",
|
238 |
+
"VMK",
|
239 |
+
"VV0",
|
240 |
+
"VVD",
|
241 |
+
"VVG",
|
242 |
+
"VVGK",
|
243 |
+
"VVI",
|
244 |
+
"VVN",
|
245 |
+
"VVNK",
|
246 |
+
"VVZ",
|
247 |
+
"XX",
|
248 |
+
"Y",
|
249 |
+
"ZZ1",
|
250 |
+
"ZZ2",
|
251 |
+
"ZZ221",
|
252 |
+
"ZZ222"
|
253 |
+
],
|
254 |
+
"neg_prefix":"!",
|
255 |
+
"overwrite":false
|
256 |
+
}
|
tagger/model
ADDED
Binary file (97.4 kB). View file
|
|
tok2vec/cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
|
3 |
+
}
|
tok2vec/model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
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version https://git-lfs.github.com/spec/v1
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oid sha256:2bef1c838277d6641b02d24484bfc90fc6cab1da7c6972fdcb9ddd1d37318a30
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size 6009091
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tokenizer
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