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Sentence Compression by Removing Recursive Structure from Parse Tree

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 5351)

Abstract

Sentence compression is a task of generating a grammatical short sentence from an original sentence, retaining the most important information. The existing methods of removing the constituents in the parse tree of an original sentence cannot deal with recursive structures which appear in the parse tree. This paper proposes a method to remove such structure and generate a grammatical short sentence. Compression experiments have shown the method to provide an ability to sentence compression comparable to the existing methods and generate good compressed sentences for sentences including recursive structures, which the previous methods failed to compress.

Keywords

  • sentence compression
  • text summarization
  • phrase structure
  • recursive structure
  • maximum entropy method

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Egawa, S., Kato, Y., Matsubara, S. (2008). Sentence Compression by Removing Recursive Structure from Parse Tree. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_14

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  • DOI: https://doi.org/10.1007/978-3-540-89197-0_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89196-3

  • Online ISBN: 978-3-540-89197-0

  • eBook Packages: Computer ScienceComputer Science (R0)