HIGHLIGHTS
- who: Zhaohui Li et al. from the School of Maritime Economics and Management, Dalian Maritime University, Dalian, China have published the article: Text Matching in Insurance Question-AnsweringCommunity Based on an Integrated BiLSTM-TextCNN ModelFusing Multi-Feature, in the Journal: Entropy 2023, 639 of 10/04/2023
- what: The MFBT model aims to solve the problems that affect the answer selection in the community such as proper nouns nonstandard sentences and sparse features. In this paper, aiming at problems such as too many proper nouns, poor sentence standardization and strong sparse features in question-and . . .
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