Using relational similarity between word pairs for latent relational search on the web

Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka

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

17 Citations (Scopus)

Abstract

Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to return the word Paris as an answer to the question mark (?) in the query {(Japan, Tokyo), (France, ?)} because the relation between Japan and Tokyo is highly similar to that between France and Paris. We propose an approach for exploring and indexing word pairs to efficiently retrieve candidate answers for a latent relational search query. Representing relations between two words in a word pair by lexical patterns allows our search engine to achieve a high MRR and high precision for the top 1 ranked result. When evaluating with a Web corpus, the proposed method achieves an MRR of 0.963 and it retrieves correct answer in the top 1 for 95.0% of queries.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
Pages196-199
Number of pages4
Volume1
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON
Duration: 2010 Aug 312010 Sep 3

Other

Other2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
CityToronto, ON
Period10/8/3110/9/3

Keywords

  • Analogical search
  • Latent relational search
  • Relational similarity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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  • Cite this

    Duc, N. T., Bollegala, D., & Ishizuka, M. (2010). Using relational similarity between word pairs for latent relational search on the web. In Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 (Vol. 1, pp. 196-199). [5616266] https://doi.org/10.1109/WI-IAT.2010.167