Classifying sentences using induced structure

Menno Van Zaanen*, Luiz Augusto Pizzato, Diego Mollá

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationString Processing and Information Retrieval - 12th International Conference, SPIRE 2005, Proceedings
EditorsMariano Consens, Gonzalo Navarro
Place of PublicationBerlin; New York
PublisherSpringer, Springer Nature
Number of pages12
Volume3772 LNCS
ISBN (Print)3540297405, 9783540297406, 9783540322412, 3540322418
Publication statusPublished - 2005
Event12th International Conference on String Processing and Information Retrieval, SPIRE 2005 - Buenos Aires, Argentina
Duration: 2 Nov 20054 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3772 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


Other12th International Conference on String Processing and Information Retrieval, SPIRE 2005
CityBuenos Aires


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