Alasiry, Areej and Levene, Mark and Poulovassilis, Alexandra (2012) Extraction and evaluation of candidate named entities in search engine queries. In: Wang, X.S. and Cruz, I. and Delis, A. and Huang, G. (eds.) Web Information Systems Engineering - WISE 2012. Lecture Notes in Computer Science 7651. Berlin, Germany: Springer Verlag, pp. 483-496. ISBN 9783642350634.
Abstract
Named Entity Recognition (NER) has recently been applied to search queries, in order to better understand their semantics. We present a novel method for detecting candidate named entities (NEs) using grammar annotation and query segmentation with the aid of top-n snippets from search engine results, and a web n-gram model to accurately identify NE boundaries. We then evaluate this method automatically using DBpedia as a rich data source of NEs, with the aid of a small representative random sample that is manually annotated. Finally, an analysis of the types of named entities that often occur in a query log is conducted, from which a search query driven named entity taxonomy is presented.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for (Closed), Birkbeck Knowledge Lab |
| Depositing User: | Sarah Hall |
| Date Deposited: | 30 May 2013 16:41 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7145 |
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