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Classifying Sentences using Induced Structure Menno van Zaanen, Luiz Augusto Pizzato, and Diego Molla
 

Summary: Classifying Sentences using Induced Structure
Menno van Zaanen, Luiz Augusto Pizzato, and Diego Moll´a
Division of Information and Communication Sciences (ICS)
Department of Computing
Macquarie University
2109 North Ryde, NSW
Australia
{menno, pizzato, diego}@ics.mq.edu.au
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 struc-
tural 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.
1 Introduction

  

Source: Aliod, Diego Mollá - Department of Computing, Macquarie University

 

Collections: Computer Technologies and Information Sciences