KCB-FLAT: Enhancing Chinese Named Entity Recognition with Syntactic Information and Boundary Smoothi...
KCB-FLAT: Enhancing Chinese Named Entity Recognition with Syntactic Information and Boundary Smoothing Techniques
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Named entity recognition (NER) is a fundamental task in Natural Language Processing (NLP). During the training process, NER models suffer from over-confidence, and especially for the Chinese NER task, it involves word segmentation and introduces erroneous entity boundary segmentation, exacerbating over-confidence and reducing the model’s overall pe...
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KCB-FLAT: Enhancing Chinese Named Entity Recognition with Syntactic Information and Boundary Smoothing Techniques
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TN_cdi_doaj_primary_oai_doaj_org_article_ccc7750229f74a7fbcd814381879a0c3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ccc7750229f74a7fbcd814381879a0c3
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math12172714
