BriefGPT.xyz
Jul, 2019
对话中事实知识的终身交互学习
Lifelong and Interactive Learning of Factual Knowledge in Dialogues
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Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma
TL;DR
本文提出了一种连续和交互式学习知识引擎(CILK),以帮助对话系统在对话过程中不断地学习和推断出新知识,从而增强其回答问题的能力。经实证评估表明,CILK具有良好的应用前景。
Abstract
dialogue systems
are increasingly using
knowledge bases
(KBs) storing real-world facts to help generate quality responses. However, as the KBs are inherently incomplete and remain fixed during conversation, it li
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