Paper: Can Click Patterns across User’s Query Logs Predict Answers to Definition Questions?

ACL ID E12-1011
Title Can Click Patterns across User’s Query Logs Predict Answers to Definition Questions?
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

In this paper, we examined click patterns produced by users of Yahoo! search engine when prompting definition questions. Reg- ularities across these click patterns are then utilized for constructing a large and hetero- geneous training corpus for answer rank- ing. In a nutshell, answers are extracted from clicked web-snippets originating from any class of web-site, including Knowledge Bases (KBs). On the other hand, non- answers are acquired from redundant pieces of text across web-snippets. The effectiveness of this corpus was as- sessed via training two state-of-the-art models, wherewith answers to unseen queries were distinguished. These test- ing queries were also submitted by search engine users, and their answer candidates were taken from their respective returned web-snippets. This ...