Update spaCy pipeline

README.md

@@ -7,63 +7,76 @@ language:
 model-index:
 - name: grc_proiel_lg
   results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.9117647059
+    - name: NER Recall
+      type: recall
+      value: 0.9117647059
+    - name: NER F Score
+      type: f_score
+      value: 0.9117647059
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9753149722
+      value: 0.9762672136
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.97333724
+      value: 0.9721652505
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9031643715
+      value: 0.9029446235
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9745092294
+      value: 0.9734104893
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8039115148
+      value: 0.8078669792
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.75666569
+      value: 0.7601816584
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.6032818533
+      value: 0.590438247
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `grc_proiel_lg` |
-| **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** | -1 keys, 200000 unique vectors (300 dimensions) |
 | **Sources** | n/a |
 | **License** | n/a |
@@ -87,16 +100,21 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `POS_ACC` | 97.33 |
-| `MORPH_ACC` | 90.32 |
-| `TAG_ACC` | 97.53 |
-| `DEP_UAS` | 80.39 |
-| `DEP_LAS` | 75.67 |
-| `SENTS_P` | 59.35 |
-| `SENTS_R` | 61.33 |
-| `SENTS_F` | 60.33 |
-| `LEMMA_ACC` | 97.45 |
-| `TOK2VEC_LOSS` | 7465584.11 |
-| `MORPHOLOGIZER_LOSS` | 211872.15 |
-| `TAGGER_LOSS` | 48038.59 |
-| `PARSER_LOSS` | 2751762.68 |
+| `POS_ACC` | 87.42 |
+| `MORPH_ACC` | 75.85 |
+| `TAG_ACC` | 82.15 |
+| `DEP_UAS` | 65.57 |
+| `DEP_LAS` | 58.16 |
+| `SENTS_P` | 29.51 |
+| `SENTS_R` | 39.35 |
+| `SENTS_F` | 33.73 |
+| `LEMMA_ACC` | 97.34 |
+| `ENTS_F` | 0.00 |
+| `ENTS_P` | 0.00 |
+| `ENTS_R` | 0.00 |
+| `ENTS_PER_TYPE` | 0.00 |
+| `TOK2VEC_LOSS` | 93324566.59 |
+| `MORPHOLOGIZER_LOSS` | 6258367.45 |
+| `TAGGER_LOSS` | 5600450.46 |
+| `PARSER_LOSS` | 10805624.62 |
+| `NER_LOSS` | 0.00 |

accuracy.json

@@ -3,76 +3,76 @@
   "token_p":1.0,
   "token_r":1.0,
   "token_f":1.0,
-  "pos_acc":0.9690551299,
-  "morph_acc":0.8973261229,
-  "morph_micro_p":0.9620992574,
-  "morph_micro_r":0.9594924133,
-  "morph_micro_f":0.9607940671,
+  "pos_acc":0.9713083972,
+  "morph_acc":0.9007060237,
+  "morph_micro_p":0.9631649207,
+  "morph_micro_r":0.9611858743,
+  "morph_micro_f":0.9621743798,
   "morph_per_feat":{
     "Case":{
-      "p":0.9703635406,
-      "r":0.9689596212,
-      "f":0.9696610727
+      "p":0.9705185575,
+      "r":0.9698803104,
+      "f":0.970199329
     },
     "Gender":{
-      "p":0.9136538207,
-      "r":0.9148654025,
-      "f":0.9142592102
+      "p":0.9157838983,
+      "r":0.9171197454,
+      "f":0.9164513351
     },
     "Number":{
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-      "r":0.986695279,
-      "f":0.987755102
+      "p":0.9886119467,
+      "r":0.9873390558,
+      "f":0.9879750913
     },
     "Aspect":{
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-      "r":0.9488437281,
-      "f":0.9475157453
+      "p":0.9518828452,
+      "r":0.9565522074,
+      "f":0.9542118141
     },
     "Mood":{
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+      "p":0.9596491228,
       "r":0.9557367501,
-      "f":0.9582481752
+      "f":0.9576889408
     },
     "Person":{
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-      "r":0.9619771863,
-      "f":0.9684210526
+      "p":0.9754507096,
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+      "f":0.9711666985
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     "Tense":{
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-      "f":0.950987564
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     "VerbForm":{
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-      "f":0.9829950631
+      "p":0.9882439383,
+      "r":0.981393652,
+      "f":0.9848068827
     },
     "Voice":{
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-      "f":0.9440380395
+      "p":0.94856723,
+      "r":0.9423357664,
+      "f":0.9454412303
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     "PronType":{
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-      "r":0.9765886288,
-      "f":0.9792085848
+      "p":0.9821908602,
+      "r":0.9775919732,
+      "f":0.9798860208
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     "Degree":{
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-      "r":0.8691099476,
-      "f":0.8725361367
+      "p":0.871927555,
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+      "f":0.8770331815
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     "Definite":{
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-      "f":0.9922222222
+      "p":0.9905607996,
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     "Reflex":{
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+      "r":1.0,
+      "f":1.0
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     "Polarity":{
       "p":0.99543379,
@@ -80,127 +80,127 @@
       "f":0.9909090909
     },
     "Poss":{
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-      "f":0.6
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+      "f":0.5
     }
   },
-  "tag_acc":0.9727354664,
-  "sents_p":0.5894538606,
-  "sents_r":0.5978987584,
-  "sents_f":0.5936462779,
-  "dep_uas":0.7927745231,
-  "dep_las":0.7434279706,
+  "tag_acc":0.9738621,
+  "sents_p":0.6034482759,
+  "sents_r":0.5682903534,
+  "sents_f":0.5853418593,
+  "dep_uas":0.7978819288,
+  "dep_las":0.747934505,
   "dep_las_per_type":{
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     "root":{
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     "det":{
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     "mark":{
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     "obl":{
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     "xcomp":{
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+      "r":0.5,
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     "cc":{
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     "conj":{
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     "dislocated":{
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     "parataxis":{
       "p":0.0,
@@ -213,39 +213,34 @@
       "f":0.0
     },
     "nummod":{
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+      "p":0.9117647059,
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+      "f":0.8985507246
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     "fixed":{
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     "csubj:pass":{
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+      "f":0.5
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     "obl:agent":{
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+      "p":0.8,
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+      "f":0.6486486486
     },
     "orphan":{
-      "p":0.25,
+      "p":0.2608695652,
       "r":0.1714285714,
-      "f":0.2033898305
+      "f":0.2068965517
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     "vocative":{
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-      "r":0.6229508197,
-      "f":0.6666666667
-    },
-    "flat:name":{
-      "p":0.8571428571,
-      "r":0.8571428571,
-      "f":0.8571428571
+      "p":0.7222222222,
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+      "f":0.6782608696
     },
     "aux":{
       "p":0.0,
@@ -256,8 +251,17 @@
       "p":0.0,
       "r":0.0,
       "f":0.0
+    },
+    "flat:name":{
+      "p":0.8571428571,
+      "r":0.8571428571,
+      "f":0.8571428571
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   },
-  "lemma_acc":0.9730359021,
-  "speed":5439.8496899715
+  "lemma_acc":0.972284813,
+  "ents_p":null,
+  "ents_r":null,
+  "ents_f":null,
+  "ents_per_type":null,
+  "speed":1172.711197211
 }

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 = "vectors/large"
 init_tok2vec = "data/pretrained_weights/model32.bin"
 raw_text = "raw_text"
@@ -11,13 +11,14 @@ 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 @@ nO = null
 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 = "tok2vec"
+
 [components.parser]
 factory = "parser"
 learn_tokens = false
@@ -198,17 +220,21 @@ 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]
 max_epochs = 100

grc_proiel_lg-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9234167488a72eb95faedd3bd7ca6a90beabfe4ec67fa1fa157d6516150bef7
-size 279459562
+oid sha256:6809343436727d7763e38d18cc57539b0a7ee861d58008d86d6cef7433c8afc0
+size 279721833

lemmatizer/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27789bec48a44e7f4651d87d904d92a159e4769a5cdb3d249ba949e92ebf22cd
+oid sha256:3c508311a7fb1b93127610f56746de2adcedfb3b9778b4f54c5c181934c56591
 size 24489602

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_lg",
-  "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":300,
     "vectors":200000,
@@ -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":0.97333724,
-    "morph_acc":0.9031643715,
+    "pos_acc":0.9721652505,
+    "morph_acc":0.9029446235,
     "morph_per_feat":{
       "Case":{
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+        "p":0.9687855428,
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       },
       "Gender":{
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