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zh_lzh_sigtyp_trf

Token Classification
spaCy
Chinese
Eval Results
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metadata
tags:
  - spacy
  - token-classification
language:
  - zh
model-index:
  - name: zh_lzh_sigtyp_trf
    results:
      - task:
          name: TAG
          type: token-classification
        metrics:
          - name: TAG (XPOS) Accuracy
            type: accuracy
            value: 0.742052984
      - task:
          name: POS
          type: token-classification
        metrics:
          - name: POS (UPOS) Accuracy
            type: accuracy
            value: 0.7949418685
      - task:
          name: MORPH
          type: token-classification
        metrics:
          - name: Morph (UFeats) Accuracy
            type: accuracy
            value: 0.8236478744
      - task:
          name: LEMMA
          type: token-classification
        metrics:
          - name: Lemma Accuracy
            type: accuracy
            value: 0.942007037
      - task:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Unlabeled Attachment Score (UAS)
            type: f_score
            value: 0.8228271306
      - task:
          name: LABELED_DEPENDENCIES
          type: token-classification
        metrics:
          - name: Labeled Attachment Score (LAS)
            type: f_score
            value: 0.7703219397
      - task:
          name: SENTS
          type: token-classification
        metrics:
          - name: Sentences F-Score
            type: f_score
            value: 0.9851073655
Feature Description
Name zh_lzh_sigtyp_trf
Version 0.1.0
spaCy >=3.6.1,<3.7.0
Default Pipeline transformer, parser, trainable_lemmatizer, tagger, morphologizer
Components transformer, parser, trainable_lemmatizer, tagger, morphologizer
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (272 labels for 3 components)
Component Labels
parser ROOT, acl, advcl, advmod, amod, aux, case, cc, ccomp, clf, compound, compound:redup, conj, cop, csubj, csubj:outer, dep, det, discourse, discourse:sp, dislocated, expl, fixed, flat, flat:foreign, flat:vv, iobj, list, mark, nmod, nsubj, nsubj:outer, nummod, obj, obl, obl:lmod, obl:tmod, parataxis, vocative, xcomp
tagger n,代名詞,人称,他__Person=1|PronType=Prs, n,代名詞,人称,他__Person=2|PronType=Prs, n,代名詞,人称,他__Person=3|PronType=Prs, n,代名詞,人称,他__PronType=Prs, n,代名詞,人称,他__PronType=Prs|Reflex=Yes, n,代名詞,人称,止格__Person=1|PronType=Prs, n,代名詞,人称,止格__Person=2|PronType=Prs, n,代名詞,人称,止格__Person=3|PronType=Prs, n,代名詞,人称,起格__Person=1|PronType=Prs, n,代名詞,人称,起格__Person=2|PronType=Prs, n,代名詞,人称,起格__Person=3|PronType=Prs, n,代名詞,人称,起格__PronType=Prs, n,代名詞,指示,*__PronType=Dem, n,代名詞,疑問,*__PronType=Int, n,名詞,不可譲,属性, n,名詞,不可譲,疾病, n,名詞,不可譲,身体, n,名詞,主体,動物, n,名詞,主体,国名__Case=Loc|NameType=Nat, n,名詞,主体,書物, n,名詞,主体,機関, n,名詞,主体,神仏, n,名詞,主体,集団, n,名詞,人,その他の人名__NameType=Prs, n,名詞,人,人, n,名詞,人,名__NameType=Giv, n,名詞,人,姓氏__NameType=Sur, n,名詞,人,役割, n,名詞,人,複合的人名__NameType=Prs, n,名詞,人,関係, n,名詞,制度,儀礼, n,名詞,制度,場__Case=Loc, n,名詞,可搬,乗り物, n,名詞,可搬,伝達, n,名詞,可搬,成果物, n,名詞,可搬,糧食, n,名詞,可搬,道具, n,名詞,固定物,地名__Case=Loc|NameType=Geo, n,名詞,固定物,地形__Case=Loc, n,名詞,固定物,建造物__Case=Loc, n,名詞,固定物,樹木, n,名詞,固定物,関係__Case=Loc, n,名詞,外観,人, n,名詞,天象,天文, n,名詞,天象,怪異, n,名詞,天象,気象, n,名詞,度量衡,*__NounType=Clf, n,名詞,思考,*, n,名詞,思考,思考, n,名詞,描写,形質, n,名詞,描写,態度, n,名詞,数量,*, n,名詞,時,*__Case=Tem, n,名詞,行為,*, n,数詞,干支,*__NumType=Ord, n,数詞,数,*, n,数詞,数字,*, p,助詞,句末,*, p,助詞,句頭,*, p,助詞,接続,並列, p,助詞,接続,体言化, p,助詞,接続,属格, p,助詞,提示,*, p,感嘆詞,*,*, p,接尾辞,*,*, s,文字,*,*, s,記号,一般,*, s,記号,括弧開,*, s,記号,読点,*, v,前置詞,基盤,*, v,前置詞,源泉,*, v,前置詞,経由,*, v,前置詞,関係,*, v,副詞,判断,推定, v,副詞,判断,確定, v,副詞,判断,逆接, v,副詞,否定,体言否定__Polarity=Neg, v,副詞,否定,有界__Polarity=Neg, v,副詞,否定,無界__Polarity=Neg, v,副詞,否定,禁止__Polarity=Neg, v,副詞,描写,*, v,副詞,時相,変化__AdvType=Tim, v,副詞,時相,完了__AdvType=Tim|Aspect=Perf, v,副詞,時相,将来__AdvType=Tim|Tense=Fut, v,副詞,時相,恒常__AdvType=Tim, v,副詞,時相,現在__AdvType=Tim|Tense=Pres, v,副詞,時相,終局__AdvType=Tim, v,副詞,時相,継起__AdvType=Tim, v,副詞,時相,緊接__AdvType=Tim, v,副詞,時相,過去__AdvType=Tim|Tense=Past, v,副詞,疑問,原因__AdvType=Cau, v,副詞,疑問,反語, v,副詞,疑問,所在, v,副詞,程度,やや高度__AdvType=Deg|Degree=Cmp, v,副詞,程度,極度__AdvType=Deg|Degree=Sup, v,副詞,程度,軽度__AdvType=Deg|Degree=Pos, v,副詞,範囲,共同, v,副詞,範囲,総括, v,副詞,範囲,限定, v,副詞,頻度,偶発, v,副詞,頻度,重複, v,副詞,頻度,頻繁, v,助動詞,受動,*__Voice=Pass, v,助動詞,可能,*__Mood=Pot, v,助動詞,必要,*__Mood=Nec, v,助動詞,願望,*__Mood=Des, v,動詞,変化,制度, v,動詞,変化,制度__VerbForm=Conv, v,動詞,変化,制度__VerbForm=Part, v,動詞,変化,性質, v,動詞,変化,性質__VerbForm=Conv, v,動詞,変化,性質__VerbForm=Part, v,動詞,変化,生物, v,動詞,変化,生物__VerbForm=Conv, v,動詞,変化,生物__VerbForm=Part, v,動詞,存在,存在, v,動詞,存在,存在__Polarity=Neg, v,動詞,存在,存在__Polarity=Neg|VerbForm=Conv, v,動詞,存在,存在__Polarity=Neg|VerbForm=Part, v,動詞,存在,存在__VerbForm=Conv, v,動詞,存在,存在__VerbForm=Part, v,動詞,存在,存在__VerbType=Cop, v,動詞,描写,境遇__Degree=Pos, v,動詞,描写,境遇__Degree=Pos|VerbForm=Conv, v,動詞,描写,境遇__Degree=Pos|VerbForm=Part, v,動詞,描写,形質__Degree=Pos, v,動詞,描写,形質__Degree=Pos|VerbForm=Conv, v,動詞,描写,形質__Degree=Pos|VerbForm=Part, v,動詞,描写,態度__Degree=Pos, v,動詞,描写,態度__Degree=Pos|VerbForm=Conv, v,動詞,描写,態度__Degree=Pos|VerbForm=Part, v,動詞,描写,量__Degree=Pos, v,動詞,描写,量__Degree=Pos|VerbForm=Conv, v,動詞,描写,量__Degree=Pos|VerbForm=Part, v,動詞,行為,交流, v,動詞,行為,交流__VerbForm=Conv, v,動詞,行為,交流__VerbForm=Part, v,動詞,行為,伝達, v,動詞,行為,伝達__VerbForm=Conv, v,動詞,行為,伝達__VerbForm=Part, v,動詞,行為,使役, v,動詞,行為,使役__VerbForm=Conv, v,動詞,行為,使役__VerbForm=Part, v,動詞,行為,儀礼, v,動詞,行為,儀礼__VerbForm=Conv, v,動詞,行為,儀礼__VerbForm=Part, v,動詞,行為,分類__Degree=Equ, v,動詞,行為,分類__Degree=Equ|VerbForm=Conv, v,動詞,行為,分類__Degree=Equ|VerbForm=Part, v,動詞,行為,動作, v,動詞,行為,動作__VerbForm=Conv, v,動詞,行為,動作__VerbForm=Part, v,動詞,行為,姿勢, v,動詞,行為,姿勢__VerbForm=Conv, v,動詞,行為,姿勢__VerbForm=Part, v,動詞,行為,役割, v,動詞,行為,役割__VerbForm=Conv, v,動詞,行為,役割__VerbForm=Part, v,動詞,行為,得失, v,動詞,行為,得失__VerbForm=Conv, v,動詞,行為,得失__VerbForm=Part, v,動詞,行為,態度, v,動詞,行為,態度__VerbForm=Conv, v,動詞,行為,態度__VerbForm=Part, v,動詞,行為,生産, v,動詞,行為,生産__VerbForm=Conv, v,動詞,行為,生産__VerbForm=Part, v,動詞,行為,移動, v,動詞,行為,移動__VerbForm=Conv, v,動詞,行為,移動__VerbForm=Part, v,動詞,行為,設置, v,動詞,行為,設置__VerbForm=Conv, v,動詞,行為,設置__VerbForm=Part, v,動詞,行為,飲食, v,動詞,行為,飲食__VerbForm=Conv, v,動詞,行為,飲食__VerbForm=Part
morphologizer POS=VERB, Case=Loc|POS=NOUN, POS=VERB|Polarity=Neg, POS=VERB|VerbForm=Part, POS=NOUN, POS=ADV, AdvType=Tim|POS=ADV|Tense=Fut, POS=PRON|Person=3|PronType=Prs, POS=PART, POS=NUM, POS=CCONJ, Case=Tem|POS=NOUN, Degree=Pos|POS=VERB|VerbForm=Part, Degree=Pos|POS=VERB, NameType=Giv|POS=PROPN, POS=PRON|Person=2|PronType=Prs, POS=SCONJ, POS=ADV|Polarity=Neg, POS=PRON|PronType=Dem, POS=AUX|VerbType=Cop, NameType=Sur|POS=PROPN, Mood=Pot|POS=AUX, POS=ADV|VerbForm=Conv, POS=ADP, NameType=Prs|POS=PROPN, AdvType=Tim|POS=ADV, POS=PRON|Person=1|PronType=Prs, Degree=Pos|POS=ADV|VerbForm=Conv, Case=Loc|NameType=Nat|POS=PROPN, POS=INTJ, AdvType=Tim|Aspect=Perf|POS=ADV, POS=PRON|PronType=Int, Case=Loc|NameType=Geo|POS=PROPN, AdvType=Cau|POS=ADV, POS=PRON|PronType=Prs|Reflex=Yes, Mood=Des|POS=AUX, Degree=Equ|POS=VERB, AdvType=Tim|POS=ADV|Tense=Past, POS=PRON|PronType=Prs, POS=SYM, AdvType=Deg|Degree=Cmp|POS=ADV, POS=AUX|Voice=Pass, NounType=Clf|POS=NOUN, POS=ADV|Polarity=Neg|VerbForm=Conv, NumType=Ord|POS=NUM, POS=VERB|Polarity=Neg|VerbForm=Part, Degree=Equ|POS=ADV|VerbForm=Conv, AdvType=Tim|POS=ADV|Tense=Pres, Mood=Nec|POS=AUX, AdvType=Deg|Degree=Sup|POS=ADV, Degree=Equ|POS=VERB|VerbForm=Part, AdvType=Deg|Degree=Pos|POS=ADV, Degree=Equ|POS=ADP, POS=PUNCT, POS=PROPN, Degree=Pos|POS=NOUN

Accuracy

Type Score
DEP_UAS 82.28
DEP_LAS 77.03
SENTS_P 98.08
SENTS_R 98.94
SENTS_F 98.51
LEMMA_ACC 94.20
TAG_ACC 74.21
POS_ACC 79.49
MORPH_ACC 82.36
TRANSFORMER_LOSS 3733506.66
PARSER_LOSS 1170567.44
TRAINABLE_LEMMATIZER_LOSS 98325.33
TAGGER_LOSS 2806037.87
MORPHOLOGIZER_LOSS 2426650.00

Citation

If you're using this model, please cite:

@inproceedings{miranda-2024-allen,
    title = "{A}llen Institute for {AI} @ {SIGTYP} 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages",
    author = "Miranda, Lester James",
    booktitle = "Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP",
    month = mar,
    year = "2024",
    address = "St. Julian's, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.sigtyp-1.18",
    pages = "151--159",
}