Answering Comparative Questions: Better than Ten-Blue-Links?

被引：8

作者：

Schildwaechter, Matthias ^{[1
]}

Bondarenko, Alexander ^{[2
]}

Zenker, Julian ^{[1
]}

Hagen, Matthias ^{[2
]}

Biemann, Chris ^{[1
]}

Panchenko, Alexander ^{[1
]}

机构：

[1] Univ Hamburg, Hamburg, Germany

[2] Martin Luther Univ Halle Wittenberg, Halle, Germany

来源：

PROCEEDINGS OF THE 2019 CONFERENCE ON HUMAN INFORMATION INTERACTION AND RETRIEVAL (CHIIR'19) | 2019年

关键词：

HCI; Comparative Question Answering; Keyword Search; Natural Language Processing;

D O I：

10.1145/3295750.3298916

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present CAM (comparative argumentative machine), a novel open-domain IR system to argumentatively compare objects with respect to information extracted from the Common Crawl. In a user study, the participants obtained 15% more accurate answers using CAM compared to a "traditional" keyword-based search and were 20% faster in finding the answer to comparative questions.

引用

页码：361 / 365

页数：5

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