Update spaCy pipeline
Browse files- .gitattributes +6 -0
- README.md +124 -0
- config.cfg +237 -0
- en_pipeline-any-py3-none-any.whl +3 -0
- meta.json +709 -0
- morphologizer/cfg +196 -0
- morphologizer/model +0 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- parser/cfg +13 -0
- parser/model +3 -0
- parser/moves +1 -0
- tagger/cfg +52 -0
- tagger/model +0 -0
- textcat/cfg +11 -0
- textcat/model +3 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +3 -0
- vocab/key2row +3 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +3 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -32,3 +32,9 @@ 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_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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textcat/model filter=lfs diff=lfs merge=lfs -text
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parser/model filter=lfs diff=lfs merge=lfs -text
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vocab/key2row filter=lfs diff=lfs merge=lfs -text
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vocab/vectors 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
ADDED
@@ -0,0 +1,124 @@
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---
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tags:
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- spacy
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- token-classification
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- text-classification
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language:
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- en
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model-index:
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- name: en_pipeline
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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: 0.9970902037
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- name: NER Recall
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type: recall
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value: 0.9970902037
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- name: NER F Score
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type: f_score
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value: 0.9970902037
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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: 0.9993694107
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS (UPOS) Accuracy
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type: accuracy
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value: 0.9993694107
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- task:
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name: MORPH
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type: token-classification
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metrics:
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- name: Morph (UFeats) Accuracy
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type: accuracy
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value: 0.9993120844
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.9979572295
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.9890201085
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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value: 1.0
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_pipeline` |
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| **Version** | `0.0.0` |
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| **spaCy** | `>=3.2.3,<3.3.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner`, `textcat` |
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| **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner`, `textcat` |
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| **Vectors** | 684830 keys, 684830 unique vectors (300 dimensions) |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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### Label Scheme
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<details>
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<summary>View label scheme (197 labels for 5 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, `_SP`, ```` |
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| **`morphologizer`** | `Definite=Def\|POS=DET\|PronType=Art`, `Number=Sing\|POS=NOUN`, `POS=ADP`, `Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PROPN`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Quot`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=AUX\|Tense=Past\|VerbForm=Part`, `Aspect=Prog\|POS=VERB\|Tense=Pres\|VerbForm=Part`, `POS=ADV`, `POS=VERB\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=PART`, `POS=PUNCT\|PunctType=Comm`, `POS=PRON`, `POS=SCONJ`, `POS=VERB\|VerbForm=Inf`, `POS=PUNCT\|PunctType=Peri`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADJ`, `ConjType=Cmp\|POS=CCONJ`, `Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SPACE`, `Definite=Ind\|POS=DET\|PronType=Art`, `Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Degree=Sup\|POS=ADJ`, `POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=AUX\|VerbForm=Fin`, `POS=AUX\|VerbForm=Inf`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `NumType=Card\|POS=NUM`, `Number=Plur\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Degree=Sup\|POS=ADV`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Quot`, `POS=DET`, `Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PUNCT\|PunctType=Dash`, `Degree=Cmp\|POS=ADV`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=DET\|PronType=Dem`, `POS=AUX\|VerbForm=Ger`, `POS=AUX`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Foreign=Yes\|POS=X`, `POS=ADV\|PronType=Dem`, `POS=PART\|Polarity=Neg`, `Number=Plur\|POS=PRON\|PronType=Dem`, `POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Brck`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Brck`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|POS=ADV`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=SYM`, `Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PUNCT`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbType=Mod`, `POS=DET\|Poss=Yes`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=INTJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `NumType=Mult\|POS=ADV`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=AUX`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|POS=PRON\|PronType=Art`, `Aspect=Prog\|POS=AUX\|Tense=Pres\|VerbForm=Part`, `POS=X`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs` |
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| **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `dep`, `det`, `dobj`, `expl`, `mark`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `pcomp`, `pobj`, `poss`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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| **`ner`** | `CARDINAL`, `DATE`, `FAC`, `GPE`, `LANGUAGE`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
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| **`textcat`** | `Blaming_Geopolitics`, `Blaming_Government`, `Blaming_Migrants`, `No_Frustration`, `Uses_Infrastructure` |
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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` | 99.94 |
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| `POS_ACC` | 99.94 |
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| `MORPH_ACC` | 99.93 |
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| `DEP_UAS` | 99.80 |
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| `DEP_LAS` | 98.90 |
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| `SENTS_P` | 100.00 |
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| `SENTS_R` | 100.00 |
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| `SENTS_F` | 100.00 |
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| `ENTS_F` | 99.71 |
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| `ENTS_P` | 99.71 |
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| `ENTS_R` | 99.71 |
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| `CATS_SCORE` | 99.43 |
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| `CATS_MICRO_P` | 99.43 |
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| `CATS_MICRO_R` | 99.43 |
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| `CATS_MICRO_F` | 99.43 |
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| `CATS_MACRO_P` | 99.43 |
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| `CATS_MACRO_R` | 99.43 |
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| `CATS_MACRO_F` | 99.43 |
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| `CATS_MACRO_AUC` | 100.00 |
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| `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
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| `TOK2VEC_LOSS` | 441813.62 |
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| `TAGGER_LOSS` | 3246.21 |
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| `MORPHOLOGIZER_LOSS` | 3554.80 |
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| `PARSER_LOSS` | 333496.66 |
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| `NER_LOSS` | 6933.11 |
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| `TEXTCAT_LOSS` | 1.50 |
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config.cfg
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[paths]
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train = "./spacy_files/train_simple_col.spacy"
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dev = "./spacy_files/train_simple_col.spacy"
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vectors = "en_core_web_lg"
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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","morphologizer","parser","ner","textcat"]
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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.morphologizer]
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factory = "morphologizer"
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extend = false
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overwrite = true
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scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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[components.morphologizer.model]
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@architectures = "spacy.Tagger.v1"
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nO = null
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[components.morphologizer.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode.width}
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36 |
+
upstream = "*"
|
37 |
+
|
38 |
+
[components.ner]
|
39 |
+
factory = "ner"
|
40 |
+
incorrect_spans_key = null
|
41 |
+
moves = null
|
42 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
43 |
+
update_with_oracle_cut_size = 100
|
44 |
+
|
45 |
+
[components.ner.model]
|
46 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
47 |
+
state_type = "ner"
|
48 |
+
extra_state_tokens = false
|
49 |
+
hidden_width = 64
|
50 |
+
maxout_pieces = 2
|
51 |
+
use_upper = true
|
52 |
+
nO = null
|
53 |
+
|
54 |
+
[components.ner.model.tok2vec]
|
55 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
56 |
+
width = ${components.tok2vec.model.encode.width}
|
57 |
+
upstream = "*"
|
58 |
+
|
59 |
+
[components.parser]
|
60 |
+
factory = "parser"
|
61 |
+
learn_tokens = false
|
62 |
+
min_action_freq = 30
|
63 |
+
moves = null
|
64 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
65 |
+
update_with_oracle_cut_size = 100
|
66 |
+
|
67 |
+
[components.parser.model]
|
68 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
69 |
+
state_type = "parser"
|
70 |
+
extra_state_tokens = false
|
71 |
+
hidden_width = 128
|
72 |
+
maxout_pieces = 3
|
73 |
+
use_upper = true
|
74 |
+
nO = null
|
75 |
+
|
76 |
+
[components.parser.model.tok2vec]
|
77 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
78 |
+
width = ${components.tok2vec.model.encode.width}
|
79 |
+
upstream = "*"
|
80 |
+
|
81 |
+
[components.tagger]
|
82 |
+
factory = "tagger"
|
83 |
+
neg_prefix = "!"
|
84 |
+
overwrite = false
|
85 |
+
scorer = {"@scorers":"spacy.tagger_scorer.v1"}
|
86 |
+
|
87 |
+
[components.tagger.model]
|
88 |
+
@architectures = "spacy.Tagger.v1"
|
89 |
+
nO = null
|
90 |
+
|
91 |
+
[components.tagger.model.tok2vec]
|
92 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
93 |
+
width = ${components.tok2vec.model.encode.width}
|
94 |
+
upstream = "*"
|
95 |
+
|
96 |
+
[components.textcat]
|
97 |
+
factory = "textcat"
|
98 |
+
scorer = {"@scorers":"spacy.textcat_scorer.v1"}
|
99 |
+
threshold = 0.5
|
100 |
+
|
101 |
+
[components.textcat.model]
|
102 |
+
@architectures = "spacy.TextCatEnsemble.v2"
|
103 |
+
nO = null
|
104 |
+
|
105 |
+
[components.textcat.model.linear_model]
|
106 |
+
@architectures = "spacy.TextCatBOW.v2"
|
107 |
+
exclusive_classes = true
|
108 |
+
ngram_size = 1
|
109 |
+
no_output_layer = false
|
110 |
+
nO = null
|
111 |
+
|
112 |
+
[components.textcat.model.tok2vec]
|
113 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
114 |
+
width = ${components.tok2vec.model.encode.width}
|
115 |
+
upstream = "*"
|
116 |
+
|
117 |
+
[components.tok2vec]
|
118 |
+
factory = "tok2vec"
|
119 |
+
|
120 |
+
[components.tok2vec.model]
|
121 |
+
@architectures = "spacy.Tok2Vec.v2"
|
122 |
+
|
123 |
+
[components.tok2vec.model.embed]
|
124 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
125 |
+
width = ${components.tok2vec.model.encode.width}
|
126 |
+
attrs = ["ORTH","SHAPE"]
|
127 |
+
rows = [5000,2500]
|
128 |
+
include_static_vectors = true
|
129 |
+
|
130 |
+
[components.tok2vec.model.encode]
|
131 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
132 |
+
width = 256
|
133 |
+
depth = 8
|
134 |
+
window_size = 1
|
135 |
+
maxout_pieces = 3
|
136 |
+
|
137 |
+
[corpora]
|
138 |
+
|
139 |
+
[corpora.dev]
|
140 |
+
@readers = "spacy.Corpus.v1"
|
141 |
+
path = ${paths.dev}
|
142 |
+
max_length = 0
|
143 |
+
gold_preproc = false
|
144 |
+
limit = 0
|
145 |
+
augmenter = null
|
146 |
+
|
147 |
+
[corpora.train]
|
148 |
+
@readers = "spacy.Corpus.v1"
|
149 |
+
path = ${paths.train}
|
150 |
+
max_length = 0
|
151 |
+
gold_preproc = false
|
152 |
+
limit = 0
|
153 |
+
augmenter = null
|
154 |
+
|
155 |
+
[training]
|
156 |
+
dev_corpus = "corpora.dev"
|
157 |
+
train_corpus = "corpora.train"
|
158 |
+
seed = ${system.seed}
|
159 |
+
gpu_allocator = ${system.gpu_allocator}
|
160 |
+
dropout = 0.1
|
161 |
+
accumulate_gradient = 1
|
162 |
+
patience = 1600
|
163 |
+
max_epochs = 0
|
164 |
+
max_steps = 20000
|
165 |
+
eval_frequency = 200
|
166 |
+
frozen_components = []
|
167 |
+
annotating_components = []
|
168 |
+
before_to_disk = null
|
169 |
+
|
170 |
+
[training.batcher]
|
171 |
+
@batchers = "spacy.batch_by_words.v1"
|
172 |
+
discard_oversize = false
|
173 |
+
tolerance = 0.2
|
174 |
+
get_length = null
|
175 |
+
|
176 |
+
[training.batcher.size]
|
177 |
+
@schedules = "compounding.v1"
|
178 |
+
start = 100
|
179 |
+
stop = 1000
|
180 |
+
compound = 1.001
|
181 |
+
t = 0.0
|
182 |
+
|
183 |
+
[training.logger]
|
184 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
185 |
+
progress_bar = false
|
186 |
+
|
187 |
+
[training.optimizer]
|
188 |
+
@optimizers = "Adam.v1"
|
189 |
+
beta1 = 0.9
|
190 |
+
beta2 = 0.999
|
191 |
+
L2_is_weight_decay = true
|
192 |
+
L2 = 0.01
|
193 |
+
grad_clip = 1.0
|
194 |
+
use_averages = false
|
195 |
+
eps = 0.00000001
|
196 |
+
learn_rate = 0.001
|
197 |
+
|
198 |
+
[training.score_weights]
|
199 |
+
tag_acc = 0.2
|
200 |
+
pos_acc = 0.1
|
201 |
+
morph_acc = 0.1
|
202 |
+
morph_per_feat = null
|
203 |
+
dep_uas = 0.1
|
204 |
+
dep_las = 0.1
|
205 |
+
dep_las_per_type = null
|
206 |
+
sents_p = null
|
207 |
+
sents_r = null
|
208 |
+
sents_f = 0.0
|
209 |
+
ents_f = 0.2
|
210 |
+
ents_p = 0.0
|
211 |
+
ents_r = 0.0
|
212 |
+
ents_per_type = null
|
213 |
+
cats_score = 0.2
|
214 |
+
cats_score_desc = null
|
215 |
+
cats_micro_p = null
|
216 |
+
cats_micro_r = null
|
217 |
+
cats_micro_f = null
|
218 |
+
cats_macro_p = null
|
219 |
+
cats_macro_r = null
|
220 |
+
cats_macro_f = null
|
221 |
+
cats_macro_auc = null
|
222 |
+
cats_f_per_type = null
|
223 |
+
cats_macro_auc_per_type = null
|
224 |
+
|
225 |
+
[pretraining]
|
226 |
+
|
227 |
+
[initialize]
|
228 |
+
vectors = ${paths.vectors}
|
229 |
+
init_tok2vec = ${paths.init_tok2vec}
|
230 |
+
vocab_data = null
|
231 |
+
lookups = null
|
232 |
+
before_init = null
|
233 |
+
after_init = null
|
234 |
+
|
235 |
+
[initialize.components]
|
236 |
+
|
237 |
+
[initialize.tokenizer]
|
en_pipeline-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3e0fe72083225bfd8c8f9a3677db6bce2f81dbff5d62e6abe1d4bc20f2e1cdce
|
3 |
+
size 793284196
|
meta.json
ADDED
@@ -0,0 +1,709 @@
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1 |
+
{
|
2 |
+
"lang":"en",
|
3 |
+
"name":"pipeline",
|
4 |
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"version":"0.0.0",
|
5 |
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"description":"",
|
6 |
+
"author":"",
|
7 |
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"email":"",
|
8 |
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"url":"",
|
9 |
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"license":"",
|
10 |
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"spacy_version":">=3.2.3,<3.3.0",
|
11 |
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"spacy_git_version":"99425de36",
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12 |
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"vectors":{
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13 |
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"width":300,
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14 |
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"vectors":684830,
|
15 |
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"keys":684830,
|
16 |
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"name":"en_vectors"
|
17 |
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},
|
18 |
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"labels":{
|
19 |
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"tok2vec":[
|
20 |
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|
21 |
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],
|
22 |
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"tagger":[
|
23 |
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"$",
|
24 |
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"''",
|
25 |
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",",
|
26 |
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"-LRB-",
|
27 |
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"-RRB-",
|
28 |
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".",
|
29 |
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":",
|
30 |
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"CC",
|
31 |
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"CD",
|
32 |
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"DT",
|
33 |
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"EX",
|
34 |
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"FW",
|
35 |
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"HYPH",
|
36 |
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"IN",
|
37 |
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"JJ",
|
38 |
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"JJR",
|
39 |
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"JJS",
|
40 |
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"MD",
|
41 |
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"NFP",
|
42 |
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"NN",
|
43 |
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"NNP",
|
44 |
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"NNPS",
|
45 |
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"NNS",
|
46 |
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"PDT",
|
47 |
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"POS",
|
48 |
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"PRP",
|
49 |
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"PRP$",
|
50 |
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"RB",
|
51 |
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"RBR",
|
52 |
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"RBS",
|
53 |
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"RP",
|
54 |
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"TO",
|
55 |
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"UH",
|
56 |
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"VB",
|
57 |
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"VBD",
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58 |
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"VBG",
|
59 |
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"VBN",
|
60 |
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"VBP",
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61 |
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"VBZ",
|
62 |
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"WDT",
|
63 |
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"WP",
|
64 |
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"WP$",
|
65 |
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"WRB",
|
66 |
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"XX",
|
67 |
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"_SP",
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68 |
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"``"
|
69 |
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],
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71 |
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114 |
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118 |
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119 |
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130 |
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131 |
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132 |
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134 |
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137 |
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139 |
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140 |
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141 |
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142 |
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143 |
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144 |
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145 |
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146 |
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147 |
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|
148 |
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|
149 |
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150 |
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151 |
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152 |
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153 |
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154 |
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155 |
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156 |
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157 |
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158 |
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|
159 |
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160 |
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161 |
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162 |
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163 |
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"POS=X",
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164 |
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"Case=Acc|POS=PRON|Person=2|PronType=Prs"
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165 |
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],
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"parser":[
|
167 |
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"ROOT",
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168 |
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"acl",
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169 |
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"acomp",
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170 |
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"advcl",
|
171 |
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"advmod",
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172 |
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"agent",
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173 |
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174 |
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175 |
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176 |
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"aux",
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177 |
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178 |
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"case",
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179 |
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180 |
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181 |
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182 |
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183 |
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"dep",
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184 |
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"det",
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185 |
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186 |
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"expl",
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187 |
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"mark",
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188 |
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"neg",
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189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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196 |
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197 |
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198 |
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199 |
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200 |
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201 |
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"relcl",
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202 |
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"xcomp"
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203 |
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],
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204 |
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"ner":[
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205 |
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"CARDINAL",
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206 |
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"DATE",
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207 |
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"FAC",
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208 |
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"GPE",
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209 |
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210 |
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211 |
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212 |
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213 |
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"ORDINAL",
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214 |
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215 |
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216 |
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"PERSON",
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217 |
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"PRODUCT",
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218 |
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"QUANTITY",
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219 |
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"TIME",
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220 |
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"WORK_OF_ART"
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221 |
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],
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222 |
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"textcat":[
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223 |
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224 |
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"Blaming_Government",
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225 |
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226 |
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"No_Frustration",
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227 |
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"Uses_Infrastructure"
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228 |
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]
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229 |
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},
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230 |
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231 |
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232 |
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233 |
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"morphologizer",
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234 |
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"parser",
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235 |
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"ner",
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236 |
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"textcat"
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237 |
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],
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238 |
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240 |
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"tagger",
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241 |
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242 |
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"parser",
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243 |
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"ner",
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244 |
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"textcat"
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],
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248 |
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],
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255 |
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"f":1.0
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},
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"f":1.0
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},
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"Number":{
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"f":1.0
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},
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"Degree":{
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},
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328 |
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"Gender":{
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"f":1.0
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333 |
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},
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}
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},
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"det":{
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"sents_p":1.0,
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"ents_f":0.9970902037,
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"ents_p":0.9970902037,
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"ents_r":0.9970902037,
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"ents_per_type":{
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"PERSON":{
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"r":1.0,
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"ORG":{
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"DATE":{
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"LOC":{
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"TIME":{
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"FAC":{
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"p":1.0,
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"CARDINAL":{
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"r":1.0,
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|
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"MONEY":{
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"p":0.8,
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|
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"GPE":{
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"r":1.0,
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"PERCENT":{
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"LANGUAGE":{
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"PRODUCT":{
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"ORDINAL":{
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"f":1.0
|
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"r":1.0,
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|
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|
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|
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}
|
661 |
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},
|
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"cats_score":0.9942857143,
|
663 |
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"cats_score_desc":"macro F",
|
664 |
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"cats_micro_p":0.9942857143,
|
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"cats_micro_r":0.9942857143,
|
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"cats_micro_f":0.9942857143,
|
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|
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|
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"cats_macro_auc":0.9999591837,
|
671 |
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"cats_f_per_type":{
|
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"Blaming_Geopolitics":{
|
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"p":1.0,
|
674 |
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"r":1.0,
|
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"f":1.0
|
676 |
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"Blaming_Government":{
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|
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|
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"f":1.0
|
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"Blaming_Migrants":{
|
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|
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|
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|
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"No_Frustration":{
|
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"p":1.0,
|
689 |
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"r":1.0,
|
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"f":1.0
|
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},
|
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"Uses_Infrastructure":{
|
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"p":0.9857142857,
|
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"r":0.9857142857,
|
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"f":0.9857142857
|
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}
|
697 |
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},
|
698 |
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"cats_macro_auc_per_type":0.0,
|
699 |
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"tok2vec_loss":4418.1361807639,
|
700 |
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"tagger_loss":32.4620698266,
|
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"morphologizer_loss":35.5480163522,
|
702 |
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"parser_loss":3334.966627319,
|
703 |
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"ner_loss":69.3310663333,
|
704 |
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"textcat_loss":0.0150158473
|
705 |
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},
|
706 |
+
"requirements":[
|
707 |
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|
708 |
+
]
|
709 |
+
}
|
morphologizer/cfg
ADDED
@@ -0,0 +1,196 @@
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|
|
1 |
+
{
|
2 |
+
"extend":false,
|
3 |
+
"labels_morph":{
|
4 |
+
"Definite=Def|POS=DET|PronType=Art":"Definite=Def|PronType=Art",
|
5 |
+
"Number=Sing|POS=NOUN":"Number=Sing",
|
6 |
+
"POS=ADP":"",
|
7 |
+
"Degree=Pos|POS=ADJ":"Degree=Pos",
|
8 |
+
"Number=Plur|POS=NOUN":"Number=Plur",
|
9 |
+
"Number=Sing|POS=PROPN":"Number=Sing",
|
10 |
+
"POS=PUNCT|PunctSide=Ini|PunctType=Quot":"PunctSide=Ini|PunctType=Quot",
|
11 |
+
"Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Pres|VerbForm=Fin":"Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin",
|
12 |
+
"POS=AUX|Tense=Past|VerbForm=Part":"Tense=Past|VerbForm=Part",
|
13 |
+
"Aspect=Prog|POS=VERB|Tense=Pres|VerbForm=Part":"Aspect=Prog|Tense=Pres|VerbForm=Part",
|
14 |
+
"POS=ADV":"",
|
15 |
+
"POS=VERB|Tense=Past|VerbForm=Fin":"Tense=Past|VerbForm=Fin",
|
16 |
+
"Mood=Ind|Number=Sing|POS=AUX|Person=3|Tense=Past|VerbForm=Fin":"Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin",
|
17 |
+
"Aspect=Perf|POS=VERB|Tense=Past|VerbForm=Part":"Aspect=Perf|Tense=Past|VerbForm=Part",
|
18 |
+
"POS=PART":"",
|
19 |
+
"POS=PUNCT|PunctType=Comm":"PunctType=Comm",
|
20 |
+
"POS=PRON":"",
|
21 |
+
"POS=SCONJ":"",
|
22 |
+
"POS=VERB|VerbForm=Inf":"VerbForm=Inf",
|
23 |
+
"POS=PUNCT|PunctType=Peri":"PunctType=Peri",
|
24 |
+
"Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs":"Case=Nom|Number=Plur|Person=3|PronType=Prs",
|
25 |
+
"Mood=Ind|POS=AUX|Tense=Pres|VerbForm=Fin":"Mood=Ind|Tense=Pres|VerbForm=Fin",
|
26 |
+
"Degree=Cmp|POS=ADJ":"Degree=Cmp",
|
27 |
+
"ConjType=Cmp|POS=CCONJ":"ConjType=Cmp",
|
28 |
+
"Number=Sing|POS=PRON|PronType=Dem":"Number=Sing|PronType=Dem",
|
29 |
+
"Number=Sing|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin":"Number=Sing|Person=3|Tense=Pres|VerbForm=Fin",
|
30 |
+
"Number=Plur|POS=PRON|Person=1|Poss=Yes|PronType=Prs":"Number=Plur|Person=1|Poss=Yes|PronType=Prs",
|
31 |
+
"POS=SPACE":"",
|
32 |
+
"Definite=Ind|POS=DET|PronType=Art":"Definite=Ind|PronType=Art",
|
33 |
+
"Number=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs":"Number=Plur|Person=3|Poss=Yes|PronType=Prs",
|
34 |
+
"Mood=Ind|POS=AUX|Tense=Past|VerbForm=Fin":"Mood=Ind|Tense=Past|VerbForm=Fin",
|
35 |
+
"POS=PRON|PronType=Rel":"PronType=Rel",
|
36 |
+
"Degree=Sup|POS=ADJ":"Degree=Sup",
|
37 |
+
"POS=VERB|Tense=Pres|VerbForm=Fin":"Tense=Pres|VerbForm=Fin",
|
38 |
+
"POS=AUX|VerbForm=Fin":"VerbForm=Fin",
|
39 |
+
"POS=AUX|VerbForm=Inf":"VerbForm=Inf",
|
40 |
+
"Case=Nom|Number=Plur|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Number=Plur|Person=1|PronType=Prs",
|
41 |
+
"NumType=Card|POS=NUM":"NumType=Card",
|
42 |
+
"Number=Plur|POS=PROPN":"Number=Plur",
|
43 |
+
"Mood=Ind|Number=Sing|POS=VERB|Person=3|Tense=Pres|VerbForm=Fin":"Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin",
|
44 |
+
"Degree=Sup|POS=ADV":"Degree=Sup",
|
45 |
+
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|
46 |
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"POS=DET":"",
|
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|
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"Degree=Cmp|POS=ADV":"Degree=Cmp",
|
51 |
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|
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76 |
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81 |
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84 |
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85 |
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|
86 |
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87 |
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89 |
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91 |
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|
94 |
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"Definite=Ind|POS=PRON|PronType=Art":"Definite=Ind|PronType=Art",
|
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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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|
105 |
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|
106 |
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|
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|
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|
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|
116 |
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|
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|
118 |
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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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|
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|
155 |
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|
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|
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|
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|
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|
160 |
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161 |
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|
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|
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|
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|
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|
167 |
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|
168 |
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"POS=SYM":99,
|
169 |
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|
170 |
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|
171 |
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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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|
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|
189 |
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|
191 |
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|
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"POS=X":101,
|
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|
194 |
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},
|
195 |
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"overwrite":true
|
196 |
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}
|
morphologizer/model
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Binary file (97 kB). View file
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|
ner/cfg
ADDED
@@ -0,0 +1,13 @@
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|
1 |
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{
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"moves":null,
|
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"update_with_oracle_cut_size":100,
|
4 |
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"multitasks":[
|
5 |
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|
6 |
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],
|
7 |
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"min_action_freq":1,
|
8 |
+
"learn_tokens":false,
|
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"beam_width":1,
|
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|
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"beam_update_prob":0.0,
|
12 |
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"incorrect_spans_key":null
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}
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ner/model
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ner/moves
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1 |
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parser/cfg
ADDED
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|
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{
|
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"moves":null,
|
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"update_with_oracle_cut_size":100,
|
4 |
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"multitasks":[
|
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|
6 |
+
],
|
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"min_action_freq":30,
|
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"beam_width":1,
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"beam_update_prob":0.0,
|
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"incorrect_spans_key":null
|
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}
|
parser/model
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:4ecb2d49cc8bc39283d160ef3e94836166ff31265671523b35d4b6951fbf6581
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3 |
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size 1743308
|
parser/moves
ADDED
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|
|
1 |
+
��moves�6{"0":{"":7874},"1":{"":9002},"2":{"det":1820,"nsubj":1142,"amod":940,"aux":766,"compound":668,"punct":425,"advmod":367,"mark":310,"poss":217,"prep":178,"auxpass":168,"nummod":160,"nsubjpass":151,"neg":109,"ccomp":81,"expl":64,"quantmod":63,"nmod":51,"advcl":50,"npadvmod":33,"dep":0},"3":{"pobj":2022,"prep":1860,"punct":1354,"dobj":664,"conj":624,"cc":512,"relcl":315,"ccomp":218,"advcl":191,"xcomp":172,"attr":157,"acomp":135,"acl":128,"advmod":118,"appos":115,"pcomp":110,"agent":55,"prt":42,"case":41,"npadvmod":40,"nsubj":35,"amod":30,"dep":0},"4":{"ROOT":575}}�cfg��neg_key�
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tagger/cfg
ADDED
@@ -0,0 +1,52 @@
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|
1 |
+
{
|
2 |
+
"labels":[
|
3 |
+
"$",
|
4 |
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"''",
|
5 |
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|
6 |
+
"-LRB-",
|
7 |
+
"-RRB-",
|
8 |
+
".",
|
9 |
+
":",
|
10 |
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"CC",
|
11 |
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"CD",
|
12 |
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"DT",
|
13 |
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"EX",
|
14 |
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"FW",
|
15 |
+
"HYPH",
|
16 |
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"IN",
|
17 |
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"JJ",
|
18 |
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|
19 |
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"JJS",
|
20 |
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"MD",
|
21 |
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"NFP",
|
22 |
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"NN",
|
23 |
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"NNP",
|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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"PRP$",
|
30 |
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"RB",
|
31 |
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"RBR",
|
32 |
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"RBS",
|
33 |
+
"RP",
|
34 |
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"TO",
|
35 |
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"UH",
|
36 |
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"VB",
|
37 |
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"VBD",
|
38 |
+
"VBG",
|
39 |
+
"VBN",
|
40 |
+
"VBP",
|
41 |
+
"VBZ",
|
42 |
+
"WDT",
|
43 |
+
"WP",
|
44 |
+
"WP$",
|
45 |
+
"WRB",
|
46 |
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"XX",
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47 |
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"_SP",
|
48 |
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"``"
|
49 |
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],
|
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"neg_prefix":"!",
|
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"overwrite":false
|
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}
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tagger/model
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textcat/cfg
ADDED
@@ -0,0 +1,11 @@
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1 |
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{
|
2 |
+
"labels":[
|
3 |
+
"Blaming_Geopolitics",
|
4 |
+
"Blaming_Government",
|
5 |
+
"Blaming_Migrants",
|
6 |
+
"No_Frustration",
|
7 |
+
"Uses_Infrastructure"
|
8 |
+
],
|
9 |
+
"threshold":0.5,
|
10 |
+
"positive_label":null
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11 |
+
}
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textcat/model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:996f31864ac5f1559a532cb5f0182da748bcc9816fc0736fb06315a499fd3e45
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size 6043225
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tok2vec/cfg
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
{
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2 |
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|
3 |
+
}
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tok2vec/model
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version https://git-lfs.github.com/spec/v1
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oid sha256:e16994eba869378c5f0b01af1a0deb1cfadf13622ce3f175383c44610440afe0
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size 29276330
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tokenizer
ADDED
@@ -0,0 +1,3 @@
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1 |
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