Investigating the use of summarisation for interactive XML retrieval

Proceedings of the ACM Symposium on Applied Computing

Volumn 2, Issue , 2006, Pages 1068-1072

  Szlávik, Zoltán ^a   Tombros, Anastasios ^a   Làlmas, Moùnia ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; SEARCH ENGINES; XML;

SUMMARISATION; XML DOCUMENTS; XML RETRIEVAL;

INFORMATION RETRIEVAL;

EID: 33750229763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1141277.1141529     Document Type: Conference Paper

References (10)

1. M. Amini, A. Tombros, N. Usunier, M. Lalmas, and P. Gallinari. Learning to summarise XML documents by combining content and structure features (poster). In CIKM'05, Bremen, Germany, October 2005.
2. P. Borlund. The iir evaluation model: a framework for evaluation of interactive information retrieval systems. Information Research, 8(3), 2003.
3. H. P. Edmundson. New methods in automatic extracting. J. ACM, 16(2):264-285, 1969.
4. N. Fuhr, M. Lalmas, S. Malik, and Z. Szlávik, editors. Advances in XML Information Retrieval: Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004, volume 3493. Springer-Verlag GmbH, may 2005.
5. J. Goldstein, M. Kantrowitz, V. Mittal, and J. Carbonell. Summarizing text documents: sentence selection and evaluation metrics. In SIGIR'99, pages 121-128. ACM Press, 1999.
6. J. Kupiec, J. Pedersen, and F. Chen. A trainable document summarizer. In SIGIR'95, pages 68-73. ACM Press, 1995.
7. M. Porter. Porter stemming algorithm. http://tartarus.org/~martin/ PorterStemmer.
8. G. Rath, A. Resnick, and R. Savage. The Formation of Abstracts by the Selection of Sentences: Part 1: Sentence Selection by Man and Machines. American Documentation, 12(2):139-141, 1961.
9. T. Rölleke, R. Lübeck, and G. Kazai. The hyspirit retrieval platform. In SIGIR'01, page 454, New York, NY, USA, 2001. ACM Press.
10. A. Tombros and M. Sanderson. Advantages of query biased summaries in information retrieval. In SIGIR'98, pages 2-10. ACM Press, 1998.