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Classifying Sentences Using Induced Structure

by: Menno van Zaanen, Luiz Augusto Pizzato, and Diego Mollá

In: String Processing and Information Retrieval: 12th International Conference, SPIRE 2005. Heidelberg, Germany: Springer-Verlag (2005) , p. 139-150.

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.

BibTeX record

@incollection{Zaanen:2005,
  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.},
  added-at = {2008-01-29T08:01:43.000+0100},
  address = {Heidelberg, Germany},
  author = {van Zaanen, Menno and Pizzato, Luiz Augusto and Moll\'{a}, Diego},
  biburl = {http://www.bibsonomy.org/bibtex/249b95e3eb33c35b0e237cc9fcb3962ba/diego_ma},
  booktitle = {String Processing and Information Retrieval: 12th International Conference, SPIRE 2005.},
  editor = {Consens, Mariano and Navarro, Gonzalo},
  interhash = {fc20ac0a4dd9ceba412dab0137f1d8ac},
  intrahash = {49b95e3eb33c35b0e237cc9fcb3962ba},
  keywords = {question_answering machine_learning molla_publication},
  pages = {139-150},
  publisher = {Springer-Verlag},
  timestamp = {2008-01-29T08:01:43.000+0100},
  title = {Classifying Sentences Using Induced Structure},
  year = 2005
}

Endnote record

%0 Book Section
%1 Zaanen:2005
%A van Zaanen, Menno
%A Pizzato, Luiz Augusto
%A Moll\'{a}, Diego
%B String Processing and Information Retrieval: 12th International Conference, SPIRE 2005.
%C Heidelberg, Germany
%D 2005
%E Consens, Mariano
%E Navarro, Gonzalo
%I Springer-Verlag
%K 
%P 139-150
%T Classifying Sentences Using Induced Structure
%X 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.