A Named entity recogniser for question answering

Menno van Zaanen, Diego Mollá

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 10th Conference of the Pacific Association for Computational Linguistics, PACLING 2007
EditorsTimothy Baldwin, David Martinez
PublisherPacific Association for Computational Linguistics
Pages317-324
Number of pages8
Publication statusPublished - 2007
EventConference of the Pacific Association for Computational Linguistics (10th : 2007) - Melbourne
Duration: 19 Sep 200721 Sep 2007

Conference

ConferenceConference of the Pacific Association for Computational Linguistics (10th : 2007)
CityMelbourne
Period19/09/0721/09/07

Bibliographical note

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.

Keywords

  • named entity recognition
  • question answering
  • text processing
  • computational linguistics

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