作者: Christopher Boston , Hui Fang , Sandra Carberry , Hao Wu , Xitong Liu
DOI: 10.1016/J.DATAK.2013.07.004
关键词: Single entity 、 Queries per second 、 Graphics 、 Information retrieval 、 Sequence 、 Query expansion 、 Context (language use) 、 Computer science
摘要: Abstract This paper presents an implemented and evaluated methodology for disambiguating terms in search queries augmenting with expansion terms. By exploiting Wikipedia articles their reference relations, our method is able to disambiguate particularly short few context words effectively expand retrieval of documents such as tweets. Our strategy can determine when a sequence should be treated single entity rather than individual entities. work part larger project retrieve information graphics response user queries.