A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search.

ACLShort '09: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers(2009)

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摘要
We query Web Image search engines with words ( e.g. , spring) but need images that correspond to particular senses of the word ( e.g. , flexible coil). Querying with polysemous words often yields unsatisfactory results from engines such as Google Images. We build an image search engine, Idiom, which improves the quality of returned images by focusing search on the desired sense . Our algorithm, instead of searching for the original query, searches for multiple, automatically chosen translations of the sense in several languages. Experimental results show that Idiom outperforms Google Images and other competing algorithms returning 22% more relevant images.
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关键词
Google Images,Web Image search engine,image search engine,original query,particular sense,competing algorithm,experimental result,flexible coil,polysemous word,relevant image,querying translation,web image search
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