A SENTIMENT BASED NON-FACTOID QUESTION-ANSWERING FRAMEWORK

被引：0

作者：

Ye, Qiaofei ^{[1
]}

Misra, Kanishka ^{[1
]}

Devarapalli, Hemanth ^{[1
]}

Rayz, Julia Taylor ^{[1
]}

机构：

[1] Purdue Univ, W Lafayette, IN 47906 USA

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC) | 2019年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the rapid advances in Artificial Intelligence, a question of emotional intelligence of a system may become as important as its accuracy. This paper investigates whether emotions should be considered for non-factoid "how" Question-Answering systems with the eventual goal of enabling the system to retrieve answers in a more emotionally intelligent way. This study proposes an architecture that adds extended representation of sentiment information to questions and answers, and reports on to what extent a prediction of the best answer be improved by the proposed architecture.

引用

页码：372 / 377

页数：6

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