Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering

The goal of answer selection is to select the most applicable answers from an answer candidate pool. It plays an essential role in numerous applications in information retrieval (IR) and natural language processing (NLP). In this paper, we introduce a novel Knowledge-enhanced Hierarchical Attention...

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Veröffentlicht in:	Neural networks 2020-12, Vol.132, p.53-65
Hauptverfasser:	Yang, Min, Chen, Lei, Lyu, Ziyu, Liu, Junhao, Shen, Ying, Wu, Qingyao
Format:	Artikel
Sprache:	eng
Schlagworte:	Answer selection Common sense knowledge Databases, Factual Hierarchical attention Humans Information Storage and Retrieval - methods Natural Language Processing Neural Networks, Computer Semantic compositionality Semantics
Online-Zugang:	Volltext
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