Deep Feature Fusion Model for Sentence Semantic Matching

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 incorporating attention mechanism to semantically match given sentences. Howev...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2019-01, Vol.61 (2), p.601-616
Hauptverfasser:	Zhang, Xu, Lu, Wenpeng, Li, Fangfang, Peng, Xueping, Zhang, Ruoyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Architecture Confidence intervals Context Deep learning Machine learning Machine translation Matching layers (electronics) Natural language processing Semantics Sentences
Online-Zugang:	Volltext
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