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XML-aided phrase indexing for hypertext documents

Published: 20 July 2008 Publication History

Abstract

We combine techniques of XML Mining and Text Mining for the benefit of Information Retrieval. By manipulating the word sequence according to the XML structure of the marked-up text, we strengthen phrase boundaries so that they are more obvious to the algorithms that extract multiword sequences from text. Consequently, the quality of the indexed phrases improves, which has a positive effect on the average precision measured by the INEX 2007 standards.

References

[1]
H. Ahonen-Myka. Finding all frequent maximal sequences in text. In Proceedings of ICML-99 Workshop on Machine Learning in Text Data Analysis, pages 11--17, 1999.
[2]
S. Banerjee and T. Pedersen. The design, implementation, and use of the Ngram Statistic Package. In Proceedings of the CICLing, pages 372--383, 2003.
[3]
K. W. Church and P. Hanks. Word association norms, mutual information, and lexicography. Computational Linguistics, 16(1):22--29, 1990.
[4]
P. Cohen, B. Heeringa, and N. Adams. Unsupervised segmentation of categorical time series into episodes. In Proceedings of ICDM'02, pages 99--106, Washington, DC, USA, 2002. IEEE Computer Society.
[5]
A. Doucet and H. Ahonen-Myka. Non-contiguous word sequences for information retrieval. In Proceedings of ACL-2004 Workshop on Multiword Expressions: Integrating Processing, pages 88--95, July 2004.
[6]
A. Doucet and H. Ahonen-Myka. Fast extraction of discontiguous sequences in text: a new approach based on maximal frequent sequences. In Proceedings of IS-LTC 2006, pages 186--191, 2006.
[7]
M. Lehtonen and A. Doucet. Phrase detection in the Wikipedia. In N. Fuhr, M. Lalmas, A. Trotman, and J. Kamps, editors, Focused access to XML documents, 6th INEX Workshop, LNCS. Springer, 2008.
[8]
O. Vechtomova. The role of multi-word units in interactive information retrieval. In Proceedings of ECIR 2005, pages 403--420, 2005.

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cover image ACM Conferences
SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
July 2008
934 pages
ISBN:9781605581644
DOI:10.1145/1390334
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Association for Computing Machinery

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Publication History

Published: 20 July 2008

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Author Tags

  1. XML
  2. XML retrieval
  3. phrase
  4. text mining
  5. word sequence

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