Chinese BertForTokenClassification Base Cased model (from ckiplab)

Description

Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bert-base-han-chinese-pos-zhonggu is a Chinese model originally trained by ckiplab.

Predicted Entities

T6, SHI, Dk, VAC, NB, QUESTIONCATEGORY, Dj, Dba, DASHCATEGORY, nc, ND, Daa, Df, V＿２, PERIODCATEGORY, VG, T, Q, Vg, PARENTHES7ISCATEGORY, r, C, Neqa, T3, 571, Vf, COLONCATEGORY, VI, EXCLAMATIONCATEGORY, VA, DE, Dd, R, Nf, N, PAUSECATEGORY, Dfb, Nd, Dfa, D, T4, FW, Na, VD, A, VCL, T7, Da, V_2, Dbb, VF, Ne, VH, NA, DH, DJ, DFa, VB, DC, b, P, Nes, EXCLANATIONCATEGORY, Db, SEMICOLONCATEGORY, Di, Dab, VL, neu, Ve, Vc, DAb, I, VE, na, Ng, Dh, VC, Caa, Nh, Dg, PARENTHESISCATEGORY, Dc, NH, VK, VJ, 符，尚無資料, Neu, V, Nb, Dl, T5, Nc, Cbb, VHC, T8, U, COMMACATEGORY

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How to use

documentAssembler = DocumentAssembler() \
    .setInputCol("text") \
    .setOutputCol("document")

tokenizer = Tokenizer() \
    .setInputCols("document") \
    .setOutputCol("token")

tokenClassifier = BertForTokenClassification.pretrained("bert_token_classifier_base_han_chinese_pos_zhonggu","zh") \
    .setInputCols(["document", "token"]) \
    .setOutputCol("ner")

pipeline = Pipeline(stages=[documentAssembler, tokenizer, tokenClassifier])

data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")

result = pipeline.fit(data).transform(data)

val documentAssembler = new DocumentAssembler()
    .setInputCol("text")
    .setOutputCol("document")

val tokenizer = new Tokenizer()
    .setInputCols("document")
    .setOutputCol("token")

val tokenClassifier = BertForTokenClassification.pretrained("bert_token_classifier_base_han_chinese_pos_zhonggu","zh")
    .setInputCols(Array("document", "token"))
    .setOutputCol("ner")

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier))

val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")

val result = pipeline.fit(data).transform(data)

Model Information

Model Name:	bert_token_classifier_base_han_chinese_pos_zhonggu
Compatibility:	Spark NLP 4.3.1+
License:	Open Source
Edition:	Official
Input Labels:	[document, token]
Output Labels:	[ner]
Language:	zh
Size:	396.3 MB
Case sensitive:	true
Max sentence length:	128

References

https://huggingface.co/ckiplab/bert-base-han-chinese-pos-zhonggu
https://github.com/ckiplab/han-transformers
http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/akiwi/kiwi.sh
http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/dkiwi/kiwi.sh
http://lingcorpus.iis.sinica.edu.tw/cgi-bin/kiwi/pkiwi/kiwi.sh
http://asbc.iis.sinica.edu.tw
https://ckip.iis.sinica.edu.tw/

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