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A Named entity recogniser for question answering

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/104796

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Title: A Named entity recogniser for question answering
Related: Conference of the Pacific Association for Computational Linguistics (10th : 2007) (19 - 21 September 2007 : Melbourne)
Related: Baldwin, Timothy and Martinez, David. Proceedings of the 10th Conference of the Pacific Association for Computational Linguistics, PACLING 2007, p.317-324
Related: http://mandrake.csse.unimelb.edu.au/pacling2007/files/final/83/83_Paper_meta.pdf
Publisher: Pacific Association for Computational Linguistics
Date: 2007
FoR/RFCD Code(s): 080100 Artificial Intelligence and Image Processing
Author/Creator: van Zaanen, Menno
Author/Creator: Mollá, Diego
Description: Named Entity Recognisers (NERs) are typically used by question answering (QA) systems as means to preselect answer candidates. However, there has not been much work on the formal assessment of the use of NERs for QA nor on their optimal parameters. In this paper we investigate the main characteristics of a NER for QA. The results show that it is important to maintain high recall to retain all possible answers on the one hand, while high precision is essential during the final answer selection phase. We present an NER designed for QA, which aims at having a high recall.
Description: 8 page(s)
Subject Keyword: 080100 Artificial Intelligence and Image Processing
Subject Keyword: named entity recognition
Subject Keyword: question answering
Subject Keyword: text processing
Subject Keyword: computational linguistics
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Computing

Identifier: http://hdl.handle.net/1959.14/104796
Identifier: mq-rm-2007002500
Language: eng
Rights: Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
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