Classifying Sentences Using Induced Structure

  • Menno van Zaanen
  • Luiz Augusto Pizzato
  • Diego Mollá
Conference paper

DOI: 10.1007/11575832_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3772)
Cite this paper as:
van Zaanen M., Pizzato L.A., Mollá D. (2005) Classifying Sentences Using Induced Structure. In: Consens M., Navarro G. (eds) String Processing and Information Retrieval. SPIRE 2005. Lecture Notes in Computer Science, vol 3772. Springer, Berlin, Heidelberg

Abstract

In this article we will introduce a new approach (and several implementations) to the task of sentence classification, where pre-defined classes are assigned to sentences. This approach concentrates on structural information that is present in the sentences. This information is extracted using machine learning techniques and the patterns found are used to classify the sentences. The approach fits in between the existing machine learning and hand-crafting of regular expressions approaches, and it combines the best of both. The sequential information present in the sentences is used directly, classifiers can be generated automatically and the output and intermediate representations can be investigated and manually optimised if needed.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Menno van Zaanen
    • 1
  • Luiz Augusto Pizzato
    • 1
  • Diego Mollá
    • 1
  1. 1.Division of Information and Communication Sciences (ICS), Department of ComputingMacquarie UniversityNorth RydeAustralia

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