LIA-iSmart at TREC 2010: An Unsupervised Web-Based Approach for Filtering Answers
نویسندگان
چکیده
Searching for named entities has been the subject of many researches in information retrieval. Our goal in participating in TREC 2010 Entity Ranking track is to look for reconizing any named entity in arbitrary categories and use this to rank candidate named entities. We propose to address the issue by means of a web oriented language modeling approach.
منابع مشابه
LIA-iSmart at the TREC 2011 Entity Track: Entity List Completion Using Contextual Unsupervised Scores for Candidate Entities Ranking
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