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PRICAI
2010
Springer

Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results

8 years 6 months ago
Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results
Relational search is a novel paradigm of search which focuses on the similarity between semantic relations. Given three words (A, B, C) as the query, a relational search engine retrieves a ranked list of words D, where a word D ∈ D is assigned a high rank if the relation between A and B is highly similar to that between C and D. However, if C and D has numerous co-occurrences, then D is retrieved by existing relational search engines irrespective of the relation between A and B. To overcome this problem, we exploit the symmetry in relational similarity to rank the result set D. To evaluate the proposed ranking method, we use a benchmark dataset of Scholastic Aptitude Test (SAT) word analogy questions. Our experiments show that the proposed ranking method improves the accuracy in answering SAT word analogy questions, thereby demonstrating its usefulness in practical applications. Key words: relational search, relational similarity, symmetry
Tomokazu Goto, Nguyen Tuan Duc, Danushka Bollegala
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where PRICAI
Authors Tomokazu Goto, Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka
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