The Community for Technology Leaders
Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2010)
Toronto, Ontario Canada
Aug. 31, 2010 to Sept. 3, 2010
ISBN: 978-0-7695-4191-4
pp: 196-199
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.
INDEX TERMS
latent relational search, relational similarity, analogical search
CITATION

N. T. Duc, D. Bollegala and M. Ishizuka, "Using Relational Similarity between Word Pairs for Latent Relational Search on the Web," 2010 IEEE/ACM International Conference on Web Intelligence-Intelligent Agent Technology (WI-IAT), Toronto, ON, 2010, pp. 196-199.
doi:10.1109/WI-IAT.2010.167
93 ms
(Ver 3.3 (11022016))