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Parsing Combinatory Categorial Grammar via Planning in Answer Set Programming

  • Chapter
Correct Reasoning

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7265))

Abstract

Combinatory categorial grammar (CCG) is a grammar formalism used for natural language parsing. CCG assigns structured lexical categories to words and uses combinatory rules to combine these categories to parse a sentence. In this work we propose and implement a new approach to CCG parsing that relies on a prominent knowledge representation formalism, answer set programming (ASP) - a declarative programming paradigm. We formulate the task of CCG parsing as a planning problem and use an ASP computational tool to compute solutions that correspond to valid parses. Compared to other approaches, there is no need to implement a specific parsing algorithm using such a declarative method. Our approach aims at producing all semantically distinct parse trees for a given sentence. From this goal, normalization and efficiency issues arise, and we deal with them by combining and extending existing strategies.We have implemented a CCG parsing tool kit-AspCcgTk-that uses ASP as its main computational means. The C&C supertagger can be used as a preprocessor within AspCcgTk, which allows us to achieve wide-coverage natural language parsing.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Kentucky, USA

    Yuliya Lierler

  2. Institut für Informationssysteme, Technische Universität Wien, Austria

    Peter Schüller

Authors
  1. Yuliya Lierler
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  2. Peter Schüller
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Natural Science, Sabanci University, Orhanli, 34956, Tuzla, Istanbul, Turkey

    Esra Erdem

  2. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, P.O. Box 878809, 85287, Tempe, AZ, USA

    Joohyung Lee

  3. Department of Computer Science, University of Kentucky, 329 Rose Street, 40506, Lexington, KY, USA

    Yuliya Lierler

  4. Department of Artificial Intelligence, Politechnical University of Madrid, Campus de Montegancedo, 28660, Boadilla del Monte, Madrid, Spain

    David Pearce

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Lierler, Y., Schüller, P. (2012). Parsing Combinatory Categorial Grammar via Planning in Answer Set Programming. In: Erdem, E., Lee, J., Lierler, Y., Pearce, D. (eds) Correct Reasoning. Lecture Notes in Computer Science, vol 7265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30743-0_30

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  • DOI: https://doi.org/10.1007/978-3-642-30743-0_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30742-3

  • Online ISBN: 978-3-642-30743-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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