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Graphs and Commonsense Knowledge improve the Dialogue Reasoning Ability
International Semantic Web Conference
Retrieving responses is a subtask in the dialogue system. The focus of the existing methods is semantic matching, but the reasoning ability is insufficient. The implicit feature association between the context and the candidate responses was not discovered. And this implicit feature association is precisely the key to realize reasoning. In this paper, we propose a new approach based on commonsense knowledge combined with graph features. We are using the advantages of graph structure indblp:conf/semweb/GaoZZFL21 fatcat:wv2omfbwyrawbey7nfgn2tsfoa