Update spaCy pipeline

README.md

@@ -7,63 +7,76 @@ language:
 model-index:
 - name: grc_proiel_sm
   results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.902173913
+    - name: NER Recall
+      type: recall
+      value: 0.9154411765
+    - name: NER F Score
+      type: f_score
+      value: 0.9087591241
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9607383534
+      value: 0.9596396132
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9580281277
+      value: 0.956782889
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.8734251392
+      value: 0.8730588925
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9656460592
+      value: 0.9657193085
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.759668913
+      value: 0.7543949604
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.70443891
+      value: 0.6981394667
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.5297098111
+      value: 0.4686688914
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `grc_proiel_sm` |
-| **Version** | `3.6.0` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
-| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
-| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
+| **Version** | `3.7` |
+| **spaCy** | `>=3.7.2,<3.8.0` |
+| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
+| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | **Sources** | n/a |
 | **License** | n/a |
@@ -87,16 +100,21 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `POS_ACC` | 95.80 |
-| `MORPH_ACC` | 87.34 |
-| `TAG_ACC` | 96.07 |
-| `DEP_UAS` | 75.97 |
-| `DEP_LAS` | 70.44 |
-| `SENTS_P` | 49.91 |
-| `SENTS_R` | 56.43 |
-| `SENTS_F` | 52.97 |
-| `LEMMA_ACC` | 96.56 |
-| `TOK2VEC_LOSS` | 3641174.13 |
-| `MORPHOLOGIZER_LOSS` | 196842.81 |
-| `TAGGER_LOSS` | 59134.79 |
-| `PARSER_LOSS` | 2326839.78 |
+| `POS_ACC` | 72.17 |
+| `MORPH_ACC` | 60.17 |
+| `TAG_ACC` | 65.14 |
+| `DEP_UAS` | 50.44 |
+| `DEP_LAS` | 42.04 |
+| `SENTS_P` | 19.53 |
+| `SENTS_R` | 26.20 |
+| `SENTS_F` | 22.38 |
+| `LEMMA_ACC` | 96.57 |
+| `ENTS_F` | 0.00 |
+| `ENTS_P` | 0.00 |
+| `ENTS_R` | 0.00 |
+| `ENTS_PER_TYPE` | 0.00 |
+| `TOK2VEC_LOSS` | 10098813.10 |
+| `MORPHOLOGIZER_LOSS` | 10967827.41 |
+| `TAGGER_LOSS` | 10362985.97 |
+| `PARSER_LOSS` | 14003909.86 |
+| `NER_LOSS` | 0.00 |

accuracy.json

@@ -3,81 +3,81 @@
   "token_p":1.0,
   "token_r":1.0,
   "token_f":1.0,
-  "pos_acc":0.9532071504,
-  "morph_acc":0.8695358269,
-  "morph_micro_p":0.9394069812,
-  "morph_micro_r":0.936416185,
-  "morph_micro_f":0.9379091988,
+  "pos_acc":0.9535826949,
+  "morph_acc":0.8690100646,
+  "morph_micro_p":0.9396259856,
+  "morph_micro_r":0.9337066474,
+  "morph_micro_f":0.9366569646,
   "morph_per_feat":{
     "Case":{
-      "p":0.9515980534,
-      "r":0.9515980534,
-      "f":0.9515980534
+      "p":0.9524499473,
+      "r":0.9510719453,
+      "f":0.9517604475
     },
     "Gender":{
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-      "f":0.9012909633
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+      "r":0.8985545684,
+      "f":0.8982567774
     },
     "Number":{
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-      "r":0.9739270386,
-      "f":0.9747637457
+      "p":0.9751077586,
+      "r":0.9709227468,
+      "f":0.9730107527
     },
     "Aspect":{
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-      "r":0.880168185,
-      "f":0.8823322796
+      "p":0.8842030021,
+      "r":0.8668535389,
+      "f":0.8754423213
     },
     "Mood":{
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-      "f":0.9233469865
+      "p":0.9295023697,
+      "r":0.913803145,
+      "f":0.9215859031
     },
     "Person":{
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-      "r":0.9410646388,
-      "f":0.9470059307
+      "p":0.950617284,
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     "Tense":{
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     "VerbForm":{
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+      "p":0.9562962963,
+      "r":0.9419919737,
+      "f":0.9490902408
     },
     "Voice":{
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-      "f":0.9051819184
+      "p":0.9133333333,
+      "r":0.9,
+      "f":0.9066176471
     },
     "PronType":{
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-      "r":0.9688963211,
-      "f":0.9718215364
+      "p":0.9757820383,
+      "r":0.9702341137,
+      "f":0.9730001677
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     "Degree":{
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+      "p":0.845646438,
       "r":0.8390052356,
-      "f":0.8270967742
+      "f":0.8423127464
     },
     "Definite":{
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-      "r":0.9944289694,
-      "f":0.9870058059
+      "p":0.9850663717,
+      "r":0.9922005571,
+      "f":0.9886205939
     },
     "Reflex":{
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+      "p":0.9782608696,
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+      "f":0.9782608696
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     "Polarity":{
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+      "r":0.9819004525,
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     "Poss":{
       "p":0.8888888889,
@@ -85,167 +85,162 @@
       "f":0.7272727273
     }
   },
-  "tag_acc":0.9569625958,
-  "sents_p":0.4862542955,
-  "sents_r":0.5405921681,
-  "sents_f":0.5119855269,
-  "dep_uas":0.7486855941,
-  "dep_las":0.6950578339,
+  "tag_acc":0.9579390116,
+  "sents_p":0.4588634436,
+  "sents_r":0.5167144222,
+  "sents_f":0.4860736748,
+  "dep_uas":0.7365930599,
+  "dep_las":0.6831906264,
   "dep_las_per_type":{
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+      "f":0.6372093023
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     "root":{
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     "parataxis":{
       "p":0.0,
       "r":0.0,
       "f":0.0
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-    "vocative":{
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     "dep":{
       "p":0.0,
       "r":0.0,
       "f":0.0
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+    "orphan":{
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+      "f":0.126984127
+    },
     "nummod":{
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+      "p":0.8461538462,
+      "r":0.7857142857,
+      "f":0.8148148148
     },
     "fixed":{
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-      "r":1.0,
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+      "p":0.2857142857,
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     },
     "csubj:pass":{
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-    "obl:agent":{
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-      "f":0.3243243243
-    },
-    "orphan":{
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+      "p":0.1666666667,
+      "r":0.1428571429,
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     },
-    "flat:name":{
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+    "vocative":{
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+      "r":0.5573770492,
+      "f":0.6181818182
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     "aux":{
       "p":0.0,
@@ -256,8 +251,17 @@
       "p":0.0,
       "r":0.0,
       "f":0.0
+    },
+    "flat:name":{
+      "p":0.6666666667,
+      "r":0.5714285714,
+      "f":0.6153846154
     }
   },
-  "lemma_acc":0.9643232687,
-  "speed":6477.8090414567
+  "lemma_acc":0.9647739222,
+  "ents_p":null,
+  "ents_r":null,
+  "ents_f":null,
+  "ents_per_type":null,
+  "speed":6181.3390379857
 }

config.cfg

@@ -1,6 +1,6 @@
 [paths]
-train = "corpus/train/grc_proiel-ud-train.spacy"
-dev = "corpus/dev/grc_proiel-ud-dev.spacy"
+train = "corpus/ud/proiel/train"
+dev = "corpus/ud/proiel/dev"
 vectors = null
 init_tok2vec = null
 
@@ -10,13 +10,14 @@ seed = 0
 
 [nlp]
 lang = "grc"
-pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","attribute_ruler"]
+pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","attribute_ruler","ner"]
 batch_size = 128
 disabled = []
 before_creation = null
 after_creation = null
 after_pipeline_creation = null
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [components]
 
@@ -65,6 +66,27 @@ normalize = false
 width = ${components.tok2vec.model.encode.width}
 upstream = "tok2vec"
 
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode.width}
+upstream = "*"
+
 [components.parser]
 factory = "parser"
 learn_tokens = false
@@ -192,17 +214,21 @@ eps = 0.00000001
 learn_rate = 0.001
 
 [training.score_weights]
-pos_acc = 0.06
-morph_acc = 0.06
+pos_acc = 0.04
+morph_acc = 0.04
 morph_per_feat = null
-tag_acc = 0.12
-dep_uas = 0.06
-dep_las = 0.06
+tag_acc = 0.08
+dep_uas = 0.04
+dep_las = 0.04
 dep_las_per_type = null
 sents_p = null
 sents_r = null
 sents_f = null
-lemma_acc = 0.64
+lemma_acc = 0.38
+ents_f = 0.38
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
 
 [pretraining]
 

grc_proiel_sm-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:accbd3c601f7e37607599530dd43752939c2b4a66b45b8fbcc6d85d5d3b4b734
-size 60074020
+oid sha256:6f238e6e7122a16bfaf5fa53f9e0582cdf637d6a540137ad6d67b7bb2fa0a987
+size 60241432

lemmatizer/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47c2c081c979e7cb5953f63ec0f8c30fb603c65e6cb7315730d37776e684fa40
+oid sha256:97e1dbe7cc8521056c72501adfc36de5fcb26ee7a98e1ed9117931797e6e88e8
 size 24263260

lemmatizer/trees

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a0b4cacd6282ecfa887b731fe8aed793709e236050f81662e72cd06fe73a6458
-size 5318689
+oid sha256:087b25d2e16192e3addbfbe3d55ae0b878ee6893648f136313c0d8b21505df7c
+size 5318272

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"grc",
   "name":"proiel_sm",
-  "version":"3.6.0",
+  "version":"3.7",
   "description":"",
   "author":"",
   "email":"",
   "url":"",
   "license":"",
-  "spacy_version":">=3.6.0,<3.7.0",
-  "spacy_git_version":"6fc153a26",
+  "spacy_version":">=3.7.2,<3.8.0",
+  "spacy_git_version":"a89eae928",
   "vectors":{
     "width":0,
     "vectors":0,
@@ -1110,6 +1110,13 @@
     ],
     "attribute_ruler":[
 
+    ],
+    "ner":[
+      "GOD",
+      "LANGUAGE",
+      "LOC",
+      "NORP",
+      "PERSON"
     ]
   },
   "pipeline":[
@@ -1118,7 +1125,8 @@
     "tagger",
     "parser",
     "lemmatizer",
-    "attribute_ruler"
+    "attribute_ruler",
+    "ner"
   ],
   "components":[
     "tok2vec",
@@ -1126,39 +1134,40 @@
     "tagger",
     "parser",
     "lemmatizer",
-    "attribute_ruler"
+    "attribute_ruler",
+    "ner"
   ],
   "disabled":[
 
   ],
   "performance":{
-    "pos_acc":0.9580281277,
-    "morph_acc":0.8734251392,
+    "pos_acc":0.956782889,
+    "morph_acc":0.8730588925,
     "morph_per_feat":{
       "Case":{
-        "p":0.9517311094,
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