Commit
•
01635c2
1
Parent(s):
6f75a6f
Update spaCy pipeline
Browse files- .gitattributes +8 -0
- README.md +53 -0
- accuracy.json +230 -0
- config.cfg +287 -0
- fr_pipeline-any-py3-none-any.whl +3 -0
- meta.json +152 -0
- national/cfg +8 -0
- national/model +3 -0
- ner/cfg +13 -0
- ner/model +3 -0
- ner/moves +1 -0
- sentiments/cfg +8 -0
- sentiments/model +3 -0
- tagger/cfg +44 -0
- tagger/model +3 -0
- thematic/cfg +25 -0
- thematic/model +3 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +0 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +3 -0
- vocab/vectors.cfg +9 -0
.gitattributes
CHANGED
@@ -33,3 +33,11 @@ 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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fr_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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national/model filter=lfs diff=lfs merge=lfs -text
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ner/model filter=lfs diff=lfs merge=lfs -text
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sentiments/model filter=lfs diff=lfs merge=lfs -text
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tagger/model filter=lfs diff=lfs merge=lfs -text
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thematic/model filter=lfs diff=lfs merge=lfs -text
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tok2vec/model filter=lfs diff=lfs merge=lfs -text
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vocab/vectors filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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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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- fr
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model-index:
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- name: fr_pipeline
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results: []
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `fr_pipeline` |
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| **Version** | `0.0.0` |
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| **spaCy** | `>=3.4.1,<3.5.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `national`, `thematic`, `sentiments`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `national`, `thematic`, `sentiments`, `ner` |
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| **Vectors** | -1 keys, 50000 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 (71 labels for 5 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `1`, `10`, `100`, `125`, `13`, `14`, `15`, `17`, `19`, `190`, `2`, `25`, `3`, `46`, `5`, `50`, `500`, `6`, `7`, `80`, `800`, `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `CONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
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| **`national`** | `International`, `National` |
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| **`thematic`** | `Coopération/Diplomatie`, `Culture`, `Economie`, `Education`, `Election`, `Environnement`, `Gouvernement`, `Insolite`, `Justice`, `Nécrologie`, `People`, `Politique`, `Réligion`, `Santé`, `Sexualité/Vie couple`, `Société`, `Sport`, `Sécurité`, `Sécurité routière`, `Technologie` |
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| **`sentiments`** | `Negatif`, `Neutre`, `Positif` |
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| **`ner`** | `DATE`, `EVENT`, `LOC`, `MISC`, `MONEY`, `ORG`, `PER`, `PER-T` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `CATS_SCORE` | 90.37 |
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| `CATS_MICRO_P` | 96.04 |
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| `CATS_MICRO_R` | 96.04 |
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| `CATS_MICRO_F` | 96.04 |
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| `CATS_MACRO_P` | 92.01 |
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| `CATS_MACRO_R` | 88.90 |
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| `CATS_MACRO_F` | 90.37 |
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| `CATS_MACRO_AUC` | 97.36 |
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| `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
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| `TOK2VEC_LOSS` | 0.00 |
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| `TEXTCAT_LOSS` | 478.59 |
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accuracy.json
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{
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"tagger" : {
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"tag_acc":0.988275739,
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"tok2vec_loss":0.0,
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"tagger_loss":4150.690571785
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},
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"thematic" : {
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"cats_score":0.9611255871,
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"cats_score_desc":"macro AUC",
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"cats_micro_p":0.8275566232,
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"cats_micro_r":0.7722978383,
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"cats_micro_f":0.7989729148,
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"cats_macro_p":0.7304133124,
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"cats_macro_r":0.6277125906,
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"cats_macro_f":0.6704716103,
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"cats_macro_auc":0.9611255871,
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"cats_f_per_type":{
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"Coop\u00e9ration/Diplomatie":{
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"p":0.8024691358,
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"r":0.5,
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"f":0.6161137441
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},
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"Culture":{
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"p":0.7845744681,
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"r":0.6766055046,
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"f":0.7266009852
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},
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"Economie":{
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"p":0.8031674208,
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"r":0.7071713147,
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"f":0.7521186441
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},
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"Education":{
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"p":0.8840206186,
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"r":0.8070588235,
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"f":0.8437884379
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},
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"Election":{
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"p":0.8252788104,
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"r":0.874015748,
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"f":0.8489483748
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},
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"Environnement":{
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"p":0.0,
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"r":0.0,
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"f":0.0
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},
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"Gouvernement":{
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"p":0.92,
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"r":0.71875,
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"f":0.8070175439
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},
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"Insolite":{
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"p":0.7083333333,
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"r":0.3863636364,
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"f":0.5
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},
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"Justice":{
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"p":0.8082524272,
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"r":0.7585421412,
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"f":0.7826086957
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},
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"N\u00e9crologie":{
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"p":0.9230769231,
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"r":0.8,
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"f":0.8571428571
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},
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"People":{
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"p":0.6842105263,
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"r":0.4333333333,
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"f":0.5306122449
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},
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"Politique":{
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"r":0.7699642431,
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"f":0.8014888337
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},
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"R\u00e9ligion":{
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"p":0.8556149733,
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"r":0.7582938389,
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"f":0.8040201005
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},
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"Sant\u00e9":{
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"p":0.8976377953,
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"r":0.8028169014,
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"f":0.8475836431
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},
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"Sexualit\u00e9/Vie couple":{
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"p":0.862745098,
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"r":0.6111111111,
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"f":0.7154471545
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},
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"Soci\u00e9t\u00e9":{
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"r":0.6532738095,
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},
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"Sport":{
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"r":0.9083333333,
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"f":0.9017580145
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},
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"S\u00e9curit\u00e9":{
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"p":0.8481724461,
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"r":0.9169199595,
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"f":0.8812074002
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},
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"S\u00e9curit\u00e9 routi\u00e8re":{
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"p":0.0,
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"r":0.0,
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"f":0.0
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"Technologie":{
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"r":0.4716981132,
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"f":0.5
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}
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},
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"cats_macro_auc_per_type":0.0,
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"tok2vec_loss":0.0,
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"textcat_multilabel_loss":0.6762271562
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},
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"national" : {
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"cats_score":0.9037233173,
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"cats_score_desc":"macro F",
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"cats_micro_p":0.9603673272,
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"cats_micro_r":0.9603673272,
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"cats_micro_f":0.9603673272,
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"cats_macro_p":0.9201033646,
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"cats_macro_r":0.8890054321,
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"cats_macro_f":0.9037233173,
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"cats_macro_auc":0.9736423963,
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"cats_f_per_type":{
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"International":{
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"p":0.8683068017,
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"r":0.7947019868,
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"f":0.8298755187
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},
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"National":{
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"f":0.977571116
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}
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},
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"cats_macro_auc_per_type":0.0,
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"tok2vec_loss":0.0,
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"textcat_loss":4.785939348
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},
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"sentiments" : {
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"cats_score":0.9330357215,
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"cats_score_desc":"macro AUC",
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"cats_micro_p":0.8108448928,
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"cats_micro_r":0.798757764,
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"cats_micro_f":0.8047559449,
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"cats_macro_p":0.7994666767,
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"cats_macro_r":0.7540619675,
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157 |
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"cats_macro_f":0.7683867088,
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158 |
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"cats_macro_auc":0.9330357215,
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159 |
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"cats_f_per_type":{
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"Negatif":{
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"p":0.8489208633,
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"r":0.9007633588,
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"f":0.8740740741
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},
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"Neutre":{
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"p":0.7916666667,
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"r":0.5428571429,
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"f":0.6440677966
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},
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"Positif":{
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"p":0.7578125,
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"r":0.8185654008,
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"f":0.7870182556
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}
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},
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"cats_macro_auc_per_type":0.0,
|
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"tok2vec_loss":0.0,
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"textcat_multilabel_loss":13.0663842873
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},
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"ner": {
|
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"ents_f":0.7588811189,
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"ents_p":0.7762517883,
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"ents_r":0.7422708618,
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"ents_per_type":{
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"LOC":{
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"p":0.8458942632,
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"r":0.8421052632,
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"f":0.8439955107
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},
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"DATE":{
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"p":0.9045138889,
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"r":0.9387387387,
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"f":0.9213085765
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},
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"ORG":{
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"p":0.7252619325,
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"r":0.7681874229,
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"f":0.7461077844
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},
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"EVENT":{
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"p":0.546875,
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"r":0.5497382199,
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"f":0.5483028721
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},
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"PER":{
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"p":0.8877005348,
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"r":0.8713910761,
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"f":0.8794701987
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},
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+
"PER-T":{
|
211 |
+
"p":0.7157534247,
|
212 |
+
"r":0.4696629213,
|
213 |
+
"f":0.5671641791
|
214 |
+
},
|
215 |
+
"MISC":{
|
216 |
+
"p":0.4787234043,
|
217 |
+
"r":0.2710843373,
|
218 |
+
"f":0.3461538462
|
219 |
+
},
|
220 |
+
"MONEY":{
|
221 |
+
"p":0.7777777778,
|
222 |
+
"r":0.9545454545,
|
223 |
+
"f":0.8571428571
|
224 |
+
}
|
225 |
+
},
|
226 |
+
"tok2vec_loss":0.0,
|
227 |
+
"ner_loss":7193.7047263753
|
228 |
+
},
|
229 |
+
"speed": 4445.2953793177
|
230 |
+
}
|
config.cfg
ADDED
@@ -0,0 +1,287 @@
|
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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 |
+
[paths]
|
2 |
+
train = null
|
3 |
+
dev = null
|
4 |
+
vectors = null
|
5 |
+
init_tok2vec = null
|
6 |
+
|
7 |
+
[system]
|
8 |
+
seed = 0
|
9 |
+
gpu_allocator = null
|
10 |
+
|
11 |
+
[nlp]
|
12 |
+
lang = "fr"
|
13 |
+
pipeline = ["tok2vec","tagger","national","thematic","sentiments","ner"]
|
14 |
+
disabled = []
|
15 |
+
before_creation = null
|
16 |
+
after_creation = null
|
17 |
+
after_pipeline_creation = null
|
18 |
+
batch_size = 1000
|
19 |
+
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
20 |
+
|
21 |
+
[components]
|
22 |
+
|
23 |
+
[components.national]
|
24 |
+
factory = "textcat"
|
25 |
+
scorer = {"@scorers":"spacy.textcat_scorer.v1"}
|
26 |
+
threshold = 0.5
|
27 |
+
|
28 |
+
[components.national.model]
|
29 |
+
@architectures = "spacy.TextCatEnsemble.v2"
|
30 |
+
nO = null
|
31 |
+
|
32 |
+
[components.national.model.linear_model]
|
33 |
+
@architectures = "spacy.TextCatBOW.v2"
|
34 |
+
exclusive_classes = true
|
35 |
+
ngram_size = 1
|
36 |
+
no_output_layer = false
|
37 |
+
nO = null
|
38 |
+
|
39 |
+
[components.national.model.tok2vec]
|
40 |
+
@architectures = "spacy.Tok2Vec.v2"
|
41 |
+
|
42 |
+
[components.national.model.tok2vec.embed]
|
43 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
44 |
+
width = 64
|
45 |
+
rows = [2000,2000,1000,1000,1000,1000]
|
46 |
+
attrs = ["ORTH","LOWER","PREFIX","SUFFIX","SHAPE","ID"]
|
47 |
+
include_static_vectors = true
|
48 |
+
|
49 |
+
[components.national.model.tok2vec.encode]
|
50 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
51 |
+
width = 64
|
52 |
+
window_size = 1
|
53 |
+
maxout_pieces = 3
|
54 |
+
depth = 2
|
55 |
+
|
56 |
+
[components.ner]
|
57 |
+
factory = "ner"
|
58 |
+
incorrect_spans_key = null
|
59 |
+
moves = null
|
60 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
61 |
+
update_with_oracle_cut_size = 100
|
62 |
+
|
63 |
+
[components.ner.model]
|
64 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
65 |
+
state_type = "ner"
|
66 |
+
extra_state_tokens = false
|
67 |
+
hidden_width = 64
|
68 |
+
maxout_pieces = 2
|
69 |
+
use_upper = true
|
70 |
+
nO = null
|
71 |
+
|
72 |
+
[components.ner.model.tok2vec]
|
73 |
+
@architectures = "spacy.Tok2Vec.v2"
|
74 |
+
|
75 |
+
[components.ner.model.tok2vec.embed]
|
76 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
77 |
+
width = 96
|
78 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
79 |
+
rows = [5000,1000,2500,2500,50]
|
80 |
+
include_static_vectors = true
|
81 |
+
|
82 |
+
[components.ner.model.tok2vec.encode]
|
83 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
84 |
+
width = 96
|
85 |
+
depth = 4
|
86 |
+
window_size = 1
|
87 |
+
maxout_pieces = 3
|
88 |
+
|
89 |
+
[components.sentiments]
|
90 |
+
factory = "textcat_multilabel"
|
91 |
+
scorer = {"@scorers":"spacy.textcat_multilabel_scorer.v1"}
|
92 |
+
threshold = 0.5
|
93 |
+
|
94 |
+
[components.sentiments.model]
|
95 |
+
@architectures = "spacy.TextCatEnsemble.v2"
|
96 |
+
nO = null
|
97 |
+
|
98 |
+
[components.sentiments.model.linear_model]
|
99 |
+
@architectures = "spacy.TextCatBOW.v2"
|
100 |
+
exclusive_classes = false
|
101 |
+
ngram_size = 1
|
102 |
+
no_output_layer = false
|
103 |
+
nO = null
|
104 |
+
|
105 |
+
[components.sentiments.model.tok2vec]
|
106 |
+
@architectures = "spacy.Tok2Vec.v1"
|
107 |
+
|
108 |
+
[components.sentiments.model.tok2vec.embed]
|
109 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
110 |
+
width = 64
|
111 |
+
rows = [2000,2000,1000,1000,1000,1000]
|
112 |
+
attrs = ["ORTH","LOWER","PREFIX","SUFFIX","SHAPE","ID"]
|
113 |
+
include_static_vectors = true
|
114 |
+
|
115 |
+
[components.sentiments.model.tok2vec.encode]
|
116 |
+
@architectures = "spacy.MaxoutWindowEncoder.v1"
|
117 |
+
width = 64
|
118 |
+
window_size = 1
|
119 |
+
maxout_pieces = 3
|
120 |
+
depth = 2
|
121 |
+
|
122 |
+
[components.tagger]
|
123 |
+
factory = "tagger"
|
124 |
+
neg_prefix = "!"
|
125 |
+
overwrite = false
|
126 |
+
scorer = {"@scorers":"spacy.tagger_scorer.v1"}
|
127 |
+
|
128 |
+
[components.tagger.model]
|
129 |
+
@architectures = "spacy.Tagger.v2"
|
130 |
+
nO = null
|
131 |
+
normalize = false
|
132 |
+
|
133 |
+
[components.tagger.model.tok2vec]
|
134 |
+
@architectures = "spacy.HashEmbedCNN.v2"
|
135 |
+
pretrained_vectors = null
|
136 |
+
width = 96
|
137 |
+
depth = 4
|
138 |
+
embed_size = 2000
|
139 |
+
window_size = 1
|
140 |
+
maxout_pieces = 3
|
141 |
+
subword_features = true
|
142 |
+
|
143 |
+
[components.thematic]
|
144 |
+
factory = "textcat_multilabel"
|
145 |
+
scorer = {"@scorers":"spacy.textcat_multilabel_scorer.v1"}
|
146 |
+
threshold = 0.5
|
147 |
+
|
148 |
+
[components.thematic.model]
|
149 |
+
@architectures = "spacy.TextCatEnsemble.v2"
|
150 |
+
nO = null
|
151 |
+
|
152 |
+
[components.thematic.model.linear_model]
|
153 |
+
@architectures = "spacy.TextCatBOW.v2"
|
154 |
+
exclusive_classes = false
|
155 |
+
ngram_size = 1
|
156 |
+
no_output_layer = false
|
157 |
+
nO = null
|
158 |
+
|
159 |
+
[components.thematic.model.tok2vec]
|
160 |
+
@architectures = "spacy.Tok2Vec.v1"
|
161 |
+
|
162 |
+
[components.thematic.model.tok2vec.embed]
|
163 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
164 |
+
width = 64
|
165 |
+
rows = [2000,2000,1000,1000,1000,1000]
|
166 |
+
attrs = ["ORTH","LOWER","PREFIX","SUFFIX","SHAPE","ID"]
|
167 |
+
include_static_vectors = true
|
168 |
+
|
169 |
+
[components.thematic.model.tok2vec.encode]
|
170 |
+
@architectures = "spacy.MaxoutWindowEncoder.v1"
|
171 |
+
width = 64
|
172 |
+
window_size = 1
|
173 |
+
maxout_pieces = 3
|
174 |
+
depth = 2
|
175 |
+
|
176 |
+
[components.tok2vec]
|
177 |
+
factory = "tok2vec"
|
178 |
+
|
179 |
+
[components.tok2vec.model]
|
180 |
+
@architectures = "spacy.Tok2Vec.v2"
|
181 |
+
|
182 |
+
[components.tok2vec.model.embed]
|
183 |
+
@architectures = "spacy.MultiHashEmbed.v2"
|
184 |
+
width = 96
|
185 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
186 |
+
rows = [5000,1000,2500,2500,50]
|
187 |
+
include_static_vectors = false
|
188 |
+
|
189 |
+
[components.tok2vec.model.encode]
|
190 |
+
@architectures = "spacy.MaxoutWindowEncoder.v2"
|
191 |
+
width = 96
|
192 |
+
depth = 4
|
193 |
+
window_size = 1
|
194 |
+
maxout_pieces = 3
|
195 |
+
|
196 |
+
[corpora]
|
197 |
+
|
198 |
+
[corpora.dev]
|
199 |
+
@readers = "spacy.Corpus.v1"
|
200 |
+
path = ${paths.dev}
|
201 |
+
gold_preproc = false
|
202 |
+
max_length = 0
|
203 |
+
limit = 0
|
204 |
+
augmenter = null
|
205 |
+
|
206 |
+
[corpora.train]
|
207 |
+
@readers = "spacy.Corpus.v1"
|
208 |
+
path = ${paths.train}
|
209 |
+
gold_preproc = false
|
210 |
+
max_length = 0
|
211 |
+
limit = 0
|
212 |
+
augmenter = null
|
213 |
+
|
214 |
+
[training]
|
215 |
+
seed = ${system.seed}
|
216 |
+
gpu_allocator = ${system.gpu_allocator}
|
217 |
+
dropout = 0.1
|
218 |
+
accumulate_gradient = 1
|
219 |
+
patience = 1600
|
220 |
+
max_epochs = 0
|
221 |
+
max_steps = 20000
|
222 |
+
eval_frequency = 200
|
223 |
+
frozen_components = []
|
224 |
+
annotating_components = []
|
225 |
+
dev_corpus = "corpora.dev"
|
226 |
+
train_corpus = "corpora.train"
|
227 |
+
before_to_disk = null
|
228 |
+
|
229 |
+
[training.batcher]
|
230 |
+
@batchers = "spacy.batch_by_words.v1"
|
231 |
+
discard_oversize = false
|
232 |
+
tolerance = 0.2
|
233 |
+
get_length = null
|
234 |
+
|
235 |
+
[training.batcher.size]
|
236 |
+
@schedules = "compounding.v1"
|
237 |
+
start = 100
|
238 |
+
stop = 1000
|
239 |
+
compound = 1.001
|
240 |
+
t = 0.0
|
241 |
+
|
242 |
+
[training.logger]
|
243 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
244 |
+
progress_bar = false
|
245 |
+
|
246 |
+
[training.optimizer]
|
247 |
+
@optimizers = "Adam.v1"
|
248 |
+
beta1 = 0.9
|
249 |
+
beta2 = 0.999
|
250 |
+
L2_is_weight_decay = true
|
251 |
+
L2 = 0.01
|
252 |
+
grad_clip = 1.0
|
253 |
+
use_averages = false
|
254 |
+
eps = 0.00000001
|
255 |
+
learn_rate = 0.001
|
256 |
+
|
257 |
+
[training.score_weights]
|
258 |
+
tag_acc = 0.5
|
259 |
+
cats_score = 0.25
|
260 |
+
cats_score_desc = null
|
261 |
+
cats_micro_p = null
|
262 |
+
cats_micro_r = null
|
263 |
+
cats_micro_f = null
|
264 |
+
cats_macro_p = null
|
265 |
+
cats_macro_r = null
|
266 |
+
cats_macro_f = null
|
267 |
+
cats_macro_auc = null
|
268 |
+
cats_f_per_type = null
|
269 |
+
cats_macro_auc_per_type = null
|
270 |
+
ents_f = 0.25
|
271 |
+
ents_p = 0.0
|
272 |
+
ents_r = 0.0
|
273 |
+
ents_per_type = null
|
274 |
+
|
275 |
+
[pretraining]
|
276 |
+
|
277 |
+
[initialize]
|
278 |
+
vectors = ${paths.vectors}
|
279 |
+
init_tok2vec = ${paths.init_tok2vec}
|
280 |
+
vocab_data = null
|
281 |
+
lookups = null
|
282 |
+
before_init = null
|
283 |
+
after_init = null
|
284 |
+
|
285 |
+
[initialize.components]
|
286 |
+
|
287 |
+
[initialize.tokenizer]
|
fr_pipeline-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22d6d0352bf758c4678aa39186c2631eabfc44f47c384c7b14e757911185a037
|
3 |
+
size 80370708
|
meta.json
ADDED
@@ -0,0 +1,152 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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{
|
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|
3 |
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|
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48 |
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50 |
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51 |
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52 |
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53 |
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54 |
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55 |
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63 |
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84 |
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90 |
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91 |
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93 |
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"ner":[
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94 |
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95 |
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96 |
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"LOC",
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98 |
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"MONEY",
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99 |
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|
100 |
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"PER",
|
101 |
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"PER-T"
|
102 |
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]
|
103 |
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},
|
104 |
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"pipeline":[
|
105 |
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"tok2vec",
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106 |
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"tagger",
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107 |
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"national",
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108 |
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"thematic",
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109 |
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110 |
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151 |
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152 |
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|
national/cfg
ADDED
@@ -0,0 +1,8 @@
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1 |
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{
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2 |
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6 |
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7 |
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8 |
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}
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national/model
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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ner/cfg
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ner/model
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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ner/moves
ADDED
@@ -0,0 +1 @@
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sentiments/cfg
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tagger/cfg
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41 |
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42 |
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|
43 |
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|
44 |
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tagger/model
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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thematic/cfg
ADDED
@@ -0,0 +1,25 @@
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|
23 |
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|
24 |
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|
25 |
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thematic/model
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@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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tok2vec/cfg
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@@ -0,0 +1,3 @@
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|
1 |
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{
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tok2vec/model
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@@ -0,0 +1,3 @@
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vocab/key2row
ADDED
@@ -0,0 +1 @@
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|
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vocab/vectors
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vocab/vectors.cfg
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