Update spacy pipeline to 0.4.1

README.md

@@ -14,61 +14,69 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8510250569
+      value: 0.856968588
     - name: NER Recall
       type: recall
-      value: 0.852189781
+      value: 0.854622871
     - name: NER F Score
       type: f_score
-      value: 0.8516070207
+      value: 0.8557941221
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9643523614
   - task:
       name: POS
       type: token-classification
     metrics:
-    - name: POS Accuracy
+    - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9634910761
+      value: 0.9621512991
   - task:
-      name: SENTER
+      name: MORPH
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9776785714
-    - name: SENTER Recall
-      type: recall
-      value: 0.9755011136
-    - name: SENTER F Score
-      type: f_score
-      value: 0.9765886288
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9253517083
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
-      type: accuracy
-      value: 0.8213306474
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.8193704057
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.8213306474
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.7497475031
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9755011136
 ---
-Hungarian Spacy pipeline. Components: tok2vec, hun_sentencizer, tagger, morphologizer, hun_lemmy, parser, ner
+Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_lg` |
-| **Version** | `0.4.0` |
-| **spaCy** | `>=3.2.0,<3.3.0` |
-| **Default Pipeline** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `hun_lemmy`, `parser`, `ner` |
-| **Components** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `hun_lemmy`, `parser`, `ner` |
+| **Version** | `0.4.1` |
+| **spaCy** | `>=3.2.1,<3.3.0` |
+| **Default Pipeline** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `ner` |
+| **Components** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lemmatizer`, `parser`, `ner` |
 | **Vectors** | 1140008 keys, 1140008 unique vectors (300 dimensions) |
-| **Sources** | [UD Hungarian Szeged](https://universaldependencies.org/treebanks/hu_szeged/index.html) (Richárd Farkas, Katalin Simkó, Zsolt Szántó, Viktor Varga, Veronika Vincze ((MTA-SZTE Research Group on Artificial Intelligence)))<br />[NYTK-NerKor corpus](https://github.com/nytud/NYTK-NerKor) (Eszter Simon & Noémi Vadász (Department of Language Technology and Applied Linguistics))<br />[hunNERwiki](http://hlt.sztaki.hu/resources/hunnerwiki.html) (Eszter Simon)<br />[Szeged NER Corpus](https://rgai.inf.u-szeged.hu/node/130) (Richárd Farkas (MTA-SZTE Research Group on Artificial Intelligence))<br />[Webcorpuswiki word2vec model](https://github.com/oroszgy/hunlp-resources/releases/tag/webcorpuswiki_word2vec_v0.1) (György Orosz) |
+| **Sources** | [UD Hungarian Szeged](https://universaldependencies.org/treebanks/hu_szeged/index.html) (Richárd Farkas, Katalin Simkó, Zsolt Szántó, Viktor Varga, Veronika Vincze (MTA-SZTE Research Group on Artificial Intelligence))<br />[NYTK-NerKor corpus](https://github.com/nytud/NYTK-NerKor) (Eszter Simon, Noémi Vadász (Department of Language Technology and Applied Linguistics))<br />[hunNERwiki](http://hlt.sztaki.hu/resources/hunnerwiki.html) (Eszter Simon, Dávid Márk Nemeskey (HLT Group, Budapest University of Technology and Economics))<br />[Szeged NER Corpus](https://rgai.inf.u-szeged.hu/node/130) (György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik (MTA-SZTE Research Group on Artificial Intelligence))<br />[Webcorpuswiki word2vec model](https://github.com/oroszgy/hunlp-resources/releases/tag/webcorpuswiki_word2vec_v0.1) (György Orosz) |
 | **License** | `cc-by-sa-4.0` |
-| **Author** | [MILAB Spacy Research Group](https://github.com/spacy-hu/spacy-hungarian-models) |
+| **Author** | [MILAB Spacy Research Group](https://github.com/huspacy/huspacy) |
 
 ### Label Scheme
 
@@ -94,17 +102,17 @@ Hungarian Spacy pipeline. Components: tok2vec, hun_sentencizer, tagger, morpholo
 | `TOKEN_P` | 99.86 |
 | `TOKEN_R` | 99.93 |
 | `TOKEN_F` | 99.89 |
-| `SENTS_P` | 97.77 |
+| `SENTS_P` | 97.55 |
 | `SENTS_R` | 97.55 |
-| `SENTS_F` | 97.66 |
-| `TAG_ACC` | 96.35 |
-| `POS_ACC` | 96.32 |
-| `MORPH_ACC` | 92.64 |
-| `MORPH_MICRO_P` | 96.80 |
-| `MORPH_MICRO_R` | 95.27 |
-| `MORPH_MICRO_F` | 96.03 |
-| `DEP_UAS` | 82.13 |
-| `DEP_LAS` | 74.72 |
-| `ENTS_P` | 85.10 |
-| `ENTS_R` | 85.22 |
-| `ENTS_F` | 85.16 |
+| `SENTS_F` | 97.55 |
+| `TAG_ACC` | 96.44 |
+| `POS_ACC` | 96.22 |
+| `MORPH_ACC` | 92.54 |
+| `MORPH_MICRO_P` | 96.66 |
+| `MORPH_MICRO_R` | 95.38 |
+| `MORPH_MICRO_F` | 96.02 |
+| `DEP_UAS` | 81.94 |
+| `DEP_LAS` | 74.97 |
+| `ENTS_P` | 85.70 |
+| `ENTS_R` | 85.46 |
+| `ENTS_F` | 85.58 |

config.cfg

@@ -1,7 +1,7 @@
 [paths]
-parser_model = "../models/hu_core_news_lg-parser-0.4.0/model-best"
-lemmy_model = "../models/lemmy-0.4.0.bin"
-ner_model = "../models/hu_core_news_lg-ner_merged-0.4.0/model-best"
+parser_model = "../models/hu_core_news_lg-parser-0.4.1/model-best"
+lemmy_model = "../models/lemmy-0.4.1.bin"
+ner_model = "../models/hu_core_news_lg-ner_merged-0.4.1/model-best"
 train = null
 dev = null
 vectors = null
@@ -114,6 +114,7 @@ upstream = "*"
 
 [components.tagger]
 factory = "tagger"
+neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}
 

hu_core_news_lg-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0b0f3b738813413de5fb22eb46d0b68500b598b21d4840e5ec5c56c56e9fad1b
-size 1421621826
+oid sha256:554b8935082f9351924a4e9142a1c7341187dd21550c719af8d3ae4d96d556fb
+size 1419956175

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"hu",
   "name":"core_news_lg",
-  "version":"0.4.0",
-  "description":"Hungarian Spacy pipeline. Components: tok2vec, hun_sentencizer, tagger, morphologizer, hun_lemmy, parser, ner",
+  "version":"0.4.1",
+  "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"MILAB Spacy Research Group",
   "email":"[email protected]",
-  "url":"https://github.com/spacy-hu/spacy-hungarian-models",
+  "url":"https://github.com/huspacy/huspacy",
   "license":"cc-by-sa-4.0",
-  "spacy_version":">=3.2.0,<3.3.0",
-  "spacy_git_version":"0fc3dee77",
+  "spacy_version":">=3.2.1,<3.3.0",
+  "spacy_git_version":"800737b41",
   "vectors":{
     "width":300,
     "vectors":1140008,
@@ -1271,85 +1271,80 @@
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-    "tag_acc":0.9634910761,
-    "pos_acc":0.9632039811,
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-    "morph_micro_p":0.9680363303,
-    "morph_micro_r":0.9526858616,
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+    "sents_f":0.9755011136,
+    "tag_acc":0.9643523614,
+    "pos_acc":0.9621512991,
+    "morph_acc":0.9253517083,
+    "morph_micro_p":0.9666376307,
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@@ -1362,118 +1357,123 @@
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