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Commercial intelligence entity recognition model based on BiLSTM-CRF

A BiLSTM-CRF model is constructed by combining the Conditional Random Field(CRF) model of Bidirectional Long Short-Term Memory(BiLSTM) network to extract three kinds of entity information,tenderer,bidding agent and bidding number,in a commercial text sequence.The normalized bidding text sequence is...

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Hovedforfatter: ZHANG Yingcheng,YANG Yang,JIANG Rui,QUAN Bing,ZHANG Lijun,REN Xiaolei
Format: Artigo
Sprog:Inglês
Udgivet: Editorial Office of Computer Engineering 2019-05-01
Serier:Jisuanji gongcheng
Fag:
conditional random field(crf)| bidirectional long short-term memory(bilstm) network| language model| named entity recognition(ner)| deep learning
Online adgang:https://www.ecice06.com/fileup/1000-3428/PDF/195308.pdf
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