CWPC_BiAtt: Character–Word–Position Combined BiLSTM-Attention for Chinese Named Entity Recognition

CWPC_BiAtt: Character–Word–Position Combined BiLSTM-Attention for Chinese Named Entity Recognition

Usually taken as linguistic features by Part-Of-Speech (POS) tagging, Named Entity Recognition (NER) is a major task in Natural Language Processing (NLP). In this paper, we put forward a new comprehensive-embedding, considering three aspects, namely character-embedding, word-embedding, and pos-embed...

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Bibliographic Details
Main Authors: Shardrom Johnson, Sherlock Shen, Yuanchen Liu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Information
Subjects:
entity
comprehensive-embedding
completeness
simplicity
stability
bilstm
attention mechanism
conditional random field
Online Access:https://www.mdpi.com/2078-2489/11/1/45

Internet

https://www.mdpi.com/2078-2489/11/1/45

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