Conversational AI : Open Domain Question Answering and Commonsense Reasoning

被引：3

作者：

Basu, Kinjal ^{[1
]}

机构：

[1] Univ Texas Dallas, Erik Jonsson Sch Engn & Comp Sci, Richardson, TX 75080 USA

来源：

ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE | 2019年 / 306期

关键词：

D O I：

10.4204/EPTCS.306.53

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Our research is focused on making a human-like question answering system which can answer rationally. The distinguishing characteristic of our approach is that it will use automated common sense reasoning to truly "understand" dialogues, allowing it to converse like a human. Humans often make many assumptions during conversations. We infer facts not told explicitly by using our common sense. Incorporating commonsense knowledge in a question answering system will simply make it more robust.

引用

页码：396 / 402

页数：7

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