Using Proximity in Query Focused Multi-document Extractive Summarization
The query focused multi-document summarization tasks usually tend to answer the queries in the summary. In this paper, we suggest introducing an effective feature which can represent the relation of key terms in the query. Here, we adopt the feature of term proximity commonly used in the field of information retrieval, which has improved the retrieval performance according to the relative position of terms. To resolve the problem of data sparseness and to represent the proximity in the semantic level, concept expansion is conducted based on WordNet. By leveraging the term importance, the proximity feature is further improved and weighted according to the inverse term frequency of terms. The experimental results show that our proposed feature can contribute to improving the summarization performance.
Keywordsweighted term proximity multi-document summarization query expansion
Unable to display preview. Download preview PDF.
- 1.Kupiec, J.M., Pedersen, J., Chen, F.: A Trainable Document Summarizer. In: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, pp. 68–73 (1995)Google Scholar
- 2.Nenkova, A., Vanderwende, L.: The Impact of Frequency on Summarization. MSR-TR-2005-101. Microsoft Research Technical Report (2005)Google Scholar
- 4.Radev, D.R., Teufel, S.: Evaluation challenges in large-scale multi-document summarization: the MEAD project. In: Johns Hopkins University CLSP Workshop Final Report (2001)Google Scholar
- 5.OuYang, Y., Li, S.J., Li, W.J.: Developing Learning Strategies for Topic-based Summarization. In: ACM Conference on Information and Knowledge Management (CIKM 2007), Lisboa, Portugal, pp. 79–86 (2007)Google Scholar
- 6.Hawking, D., Thistlewaite, P.: Proximity operators – So near and yet so far. In: Proceedings of TREC-4, Gaithersburg, MD, pp. 131–143 (1995)Google Scholar
- 7.Qiu, Y., Frei, H.P.: Concept based query expansion. In: Proceedings of the 16th annual international ACM SIGIR, Pittsburgh, United States (1993)Google Scholar
- 9.Miller, G.A., Beckwith, R., Felbaum, C., Gross, D., Miller, K.: Introduction to WordNet: An On-line Lexical Database (1993)Google Scholar
- 10.Hoa, T.D.: Overview of DUC 2006. In: Document Understanding Conference 2006 (2006), http://duc.nist.gov
- 11.Carbonell, J.G., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: Proceedings of the 21st ACM SIGIR conference on Research and development in information retrieval, Melbourne, Australia, pp. 335–336 (1998)Google Scholar
- 12.Lin, C.Y., Hovy, E.: Manual and Automatic Evaluation of Summaries. In: Document Understanding Conference (2002), http://duc.nist.gov