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Inferential Information Extraction

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Information Extraction (SCIE 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1714))

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Abstract

This paper is concerned with an outlook on information extraction (IE) that is steeped to a large extent in the traditional semantic notion of inferential reasoning. We make the case for a continued presence of inferential methods in IE, despite the ongoing trend towards simpler extraction processing models. We demonstrate the role of this kind of inference in the Alembic message understanding system, and also discuss the upstream syntactic processing that enables this. We present the finite-state parsing models that until recently have served this role, and cover at some length the issues of semantic interpretation that they require. As a pointer towards work to come, we also mention briefly our work in progress on parsing via grammatical relations, an approach that we hope will add great generality to our extraction framework.

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Author information

Authors and Affiliations

  1. The MITRE Corporation, Bedford, Mass., 01730, USA

    Marc Vilain

Authors
  1. Marc Vilain
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Systems and Production, University of Roma, Tor Vergata, Via di Tor Vergata, I-00133, Roma, Italy

    Maria Teresa Pazienza

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© 1999 Springer-Verlag Berlin Heidelberg

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Vilain, M. (1999). Inferential Information Extraction. In: Pazienza, M.T. (eds) Information Extraction. SCIE 1999. Lecture Notes in Computer Science(), vol 1714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48089-7_6

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  • DOI: https://doi.org/10.1007/3-540-48089-7_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66625-7

  • Online ISBN: 978-3-540-48089-1

  • eBook Packages: Springer Book Archive

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