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Text Matching in Insurance Question-Answering Community Based on an Integrated BiLSTM-TextCNN Model...

Text Matching in Insurance Question-Answering Community Based on an Integrated BiLSTM-TextCNN Model...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_55e30bb5aee64c9f943799f1a08909b2

Text Matching in Insurance Question-Answering Community Based on an Integrated BiLSTM-TextCNN Model Fusing Multi-Feature

About this item

Full title

Text Matching in Insurance Question-Answering Community Based on an Integrated BiLSTM-TextCNN Model Fusing Multi-Feature

Publisher

Switzerland: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2023-04, Vol.25 (4), p.639

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Along with the explosion of ChatGPT, the artificial intelligence question-answering system has been pushed to a climax. Intelligent question-answering enables computers to simulate people’s behavior habits of understanding a corpus through machine learning, so as to answer questions in professional fields. How to obtain more accurate answers to per...

Alternative Titles

Full title

Text Matching in Insurance Question-Answering Community Based on an Integrated BiLSTM-TextCNN Model Fusing Multi-Feature

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_55e30bb5aee64c9f943799f1a08909b2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_55e30bb5aee64c9f943799f1a08909b2

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e25040639

How to access this item