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
收藏
页码：361 / 365
页数：5
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