QUEST: query expansion using synonyms over time

Authors:
Nattiya Kanhabua;Kjetil Nørvåg
Affiliations:
Dept. of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway;Dept. of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
Venue:
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Year:
2010

Citing 5
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Abstract

A particular problem of searching news archives with named entities is that they are very dynamic in appearance compared to other vocabulary terms, and synonym relationships between terms change with time. In previous work, we proposed an approach to extracting time-based synonyms of named entities from the whole history of Wikipedia. In this paper, we present QUEST (Query Expansion using Synonyms over Time), a system that exploits time-based synonyms in searching news archives. The system takes as input a named entity query, and automatically determines time-based synonyms for a given query wrt. time criteria. Query expansion using the determined synonyms can be employed in order to improve the retrieval effectiveness.