Abstract
In this paper, we present a novel approach to derive event relevance from event ontology constructed with Formal Concept Analysis (FCA), a mathematical approach to data analysis and knowledge representation. The ontology is built from a set of relevant documents and according to the named entities associated to the events. Various relevance measures are explored, from binary to scaled, and from symmetrical to asymmetrical associations. We then apply the derived event relevance to the task of multi-document summarization. The experiments on DUC 2004 data set show that the relevant-event-based approaches outperform the independent-event-based approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Daniel, N., Radev, D., Allison, T.: Sub-event based Multi-document Summarization. In: Proceedings of the HLT-NAACL 2003 Workshop on Text Summarization, pp. 9–16 (2003)
Filatova, E., Hatzivassiloglou, V.: Event-based Extractive summarization. In: Proceedings of ACL 2004 Workshop on Summarization, pp. 104–111 (2004)
Barzilay, R., Lapata, M.: Modeling Local Coherence: An Entity-based Approach. In: Proceedings of ACL 2005, pp. 141–148 (2005)
Guarino, N.: Formal Ontology and Information Systems. In: Proceedings of FOIS 1998, Amsterdam, pp. 3–15 (1998)
Kevin, K.: Building a Large Ontology for Machine Translation. In: Proceedings of the ARPA Human Language Technology Workshop (1993)
Alani, H., Kim, S., Millard, D.E., Weal, M.J., Hall, W., Lewis, P.H., Shadbolt, N.R.: Automatic Ontology-Based Knowledge Extraction from Web Documents. IEEE Intelligent Systems 8(1), 14–21 (2003)
Haav, H.M.: An Application of Inductive Concept Analysis to Construction of Domain-specific Ontologies. In: Proceedings of the Workshop of VLDB 2003, pp. 63–67 (2003)
Jiang, G., Ogasawara, K., Endoh, A., Sakurai, T.: Context-based Ontology Building Support in Clinical Domains using Formal Concept Analysis. International Journal of Medical Informatics 71(1), 71–81 (2003)
Li, S.J., Lu, Q., Li, W.J.: Experiments of Ontology Construction with Formal Concept Analysis. In: Proceedings of IJCNLP 2005 Workshop on Ontologies and Lexical Resources (2005)
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
Page, L.S., Motwani, B.R., Winograd, T.: The Pagerank Citation Ranking: Bring Order to the Web. Technical Report, Stanford University (1998)
Filatova, E., Hatzivassiloglou, V.: Domain-independent Detection, Extraction, and Labeling of Atomic Events. In: Proceedings of RANLP, pp. 145–152 (2003)
Lin, C.Y., Hovy, E.: Automatic Evaluation of Summaries using N-gram Co-occurrence Statistics. In: Proceedings of HLT-NAACL, pp. 71–78 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, W., Li, W., Wu, M., Li, W., Yuan, C. (2006). Deriving Event Relevance from the Ontology Constructed with Formal Concept Analysis. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299_50
Download citation
DOI: https://doi.org/10.1007/11671299_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32205-4
Online ISBN: 978-3-540-32206-1
eBook Packages: Computer ScienceComputer Science (R0)