Abstract
We describe a hybrid approach to summarize the document content using the topic phrases extraction and the query-based summary. The topic phrases are extracted using machine learning algorithm. We use these topic phrases as the query terms with locality-based similarity calculation in order to extract highly ranked sentences or paragraph. We experiment with three machine learning methods, Naive Bayesian, decision tree and supported vector machine, for extracting the topic phrases effectively and discuss the results. The overall summaries have been evaluated for the extraction accuracy compared with the human-selected summaries.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
de Kretser, O., Moffat, A.: Needles and Haystacks: A Search Engine for Personal Information Collections. In: de Krester, M. (eds.) Proc. 23rd Australasian Computer Science Conference, Canberra, January 2000, pp. 58–65 (2000)
Euler, T.: Tailoring Text Using Topic Words: Selection and Compression. In: Proceedings of the 13th International Workshop on Database and Expert Systems Applications (DEXA). IEEE Computer Society Press, Los Alamitos (2002)
Frank, E., Paynter, G.W., Witten, I.H., Gutwin, C., Nevill-Manning, C.G.: Domain-specific keyphrase extraction. In: Proc. Int. Joint Conf. on Artificial Intelligence, Stockholm, Sweden, pp. 668–673 (1999)
Witten, I.H., Paynter, G.W., Frank, E., Gutwin, C., Nevill-Manning, C.G.: KEA: Practical Automatic Keyphrase Extraction. ACM DL, 254–255 (1999)
Pazzani, M., Nguyen, L., Mantik, S.: Learning from hotlists and coldlists: Towards a WWW information filtering and seeking agent, http://www.ics.uci.edu/~pazzani/Coldlist.html
Mathieu, J.: Adaptation of a Keyphrase Extractor for Japanese Text, http://extractor.iit.nrc.ca/reports/CAIS99.ps.Z
Witten, I.H., Paynter, G.W., Frank, E., Gutwin, C., Nevill-Manning, C.G.: KEA: Practical Automatic Keyphrase Extracting. ACM DL, 254–255 (1999)
de Kretser, O., Moffat, A.: Needles and Haystacks: A Search Engine for Personal Information Collections. In: de Kretser, M. (ed.) Proc. 23rd Australasian Computer Science Conference, Canberra, January 2000, pp. 58–65 (2000)
Frank, E., Paynter, G.W., Witten, I.H., Gutwin, C., Nevill-Manning, C.G.: Domain-Specific Keyphrase Extraction. In: Proc. Sixteenth International Joint Conference on Artificial Intelligence, pp. 668–673. Morgan Kaufmann Publishers, San Francisco (1999)
Kan, M.-Y., McKeown, K.R., Klavans, J.L.: Domain-specific informative and indicative summarization for information retrieval. In: Proceedings of the Document Understanding Workshop (DUC 2001), New Orleans, USA (September 2001)
Chen, F.R., Dan Bloomberg, S.: Extraction of Inductive Summary Sentences from Imaged Documents. In: ICDAR 1997, August 1997, pp. 227–232 (1997)
Kan, M.-Y., McKeown, K.R., Klavans, J.L.: Applying Natural Language Generation to Indicative Summarization. In: Proceedings of 8th European Workshop on Natural Language Generation, Toulouse, France, July 2001, pp. 92–100 (2001)
Ryu, J., Han, K.-R., et al.: Automatic Extraction of Core Sentences from Document. In: ICEIC 2000 (August 2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ryu, J., Han, KR., Rim, KW. (2003). Korean Document Summarization Using Topic Phrases Extraction and Locality-Based Similarity. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_44
Download citation
DOI: https://doi.org/10.1007/978-3-540-39592-8_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20256-1
Online ISBN: 978-3-540-39592-8
eBook Packages: Springer Book Archive