Alasiry, Areej and Levene, Mark and Poulovassilis, Alexandra (2012) Detecting candidate named entities in search queries. In: UNSPECIFIED (ed.) Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12. New York, USA: ACM Publications, pp. 1049-1050. ISBN 9781450314725.
Abstract
The information extraction task of Named Entities Recognition (NER) has been recently applied to search engine queries, in order to better understand their semantics. Here we concentrate on the task prior to the classification of the named entities (NEs) into a set of categories, which is the problem of detecting candidate NEs via the subtask of query segmentation.We present a novel method for detecting candidate 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. The proposed method addresses the problem of accurately setting boundaries of NEs and the detection of multiple NEs in queries.
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 16:28 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7144 |
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