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Generating queries from user-selected text
2012
Proceedings of the 4th Information Interaction in Context Symposium on - IIIX '12
People browsing the web or reading a document may see text passages that describe a topic of interest, and want to know more about it by searching. Manually formulating a query from that text can be difficult, however, and an effective search is not guaranteed. In this paper, to address this scenario, we propose a learning-based approach which generates effective queries from the content of an arbitrary userselected text passage. Specifically, the approach extracts and selects representative
doi:10.1145/2362724.2362744
dblp:conf/iiix/LeeC12
fatcat:y2gcyte2inhtlasxz76t7hzdeq