Mining entity attribute synonyms via compact clustering

Yanen Li, Bo June Hsu, Cheng Xiang Zhai, Kuansan Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Entity attribute values, such as "lord of the rings" for movie.title or "infant" for shoe.gender, are atomic components of entity expressions. Discovering alternative surface forms of attribute values is important for improving entity recognition and retrieval. In this work, we propose a novel compact clustering framework to jointly identify synonyms for a set of attribute values. The framework can integrate signals from multiple information sources into a similarity function between attribute values. And the weights of these signals are optimized in an unsupervised manner. Extensive experiments across multiple domains demonstrate the effectiveness of our clustering framework for mining entity attribute synonyms.

Original languageEnglish (US)
Title of host publicationCIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management
Pages867-872
Number of pages6
DOIs
StatePublished - Dec 11 2013
Event22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 - San Francisco, CA, United States
Duration: Oct 27 2013Nov 1 2013

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
Country/TerritoryUnited States
CitySan Francisco, CA
Period10/27/1311/1/13

Keywords

  • Compact clustering
  • Entity attribute synonyms

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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