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Using Information Extraction to Build a Directory of Conference Announcements

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Computational Linguistics and Intelligent Text Processing (CICLing 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2945))

Abstract

We describe an application of information extraction for building a directory of announcements of scientific conferences. We employ a cascaded finite-state transducer to identify possible conference names, titles, dates, locations and URLs in a conference announcement. In order to cope with agrammatical text that is typical for conference announcements, our system uses orthographic features of the text and a domain-specific tag set, rather than general purpose part-of-speech tags. Extraction accuracy is improved by recognizing other entities in the text that are not extracted but could be confused with slot values. A scoring scheme based on some simple heuristics is used to select among multiple extraction candidates. We also present an evaluation of our system.

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Authors and Affiliations

  1. Department of General Linguistics, University of Passau, Innstr. 40, 94032, Passau, Germany

    Karl-Michael Schneider

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  1. Karl-Michael Schneider
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Editor information

Editors and Affiliations

  1. National Polytechnic Institute, Center for Computing Research, 07738, Mexico City, México

    Alexander Gelbukh

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© 2004 Springer-Verlag Berlin Heidelberg

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Schneider, KM. (2004). Using Information Extraction to Build a Directory of Conference Announcements. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_65

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  • DOI: https://doi.org/10.1007/978-3-540-24630-5_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21006-1

  • Online ISBN: 978-3-540-24630-5

  • eBook Packages: Springer Book Archive

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