JOURNAL ARTICLE

Deep Feature Fusion Model for Sentence Semantic Matching

Xu ZhangWenpeng LüFangfang LiXueping PengRuoyu Zhang

Year: 2019 Journal:   Computers, materials & continua/Computers, materials & continua (Print) Vol: 61 (2)Pages: 601-616

Abstract

Sentence semantic matching (SSM) is a fundamental research in solving natural language processing tasks such as question answering and machine translation. The latest SSM research benefits from deep learning techniques by inc... | Find, read and cite all the research you need on Tech Science Press

Keywords:
Computer science Sentence Natural language processing Question answering Artificial intelligence Machine translation Matching (statistics) Semantic matching Feature (linguistics) Deep learning Semantic feature Linguistics Mathematics Philosophy

Metrics

42
Cited By
5.07
FWCI (Field Weighted Citation Impact)
28
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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