Abstract
The design, implementation and evaluation of a multi-document summarization system for sociology dissertation abstracts are described. The system focuses on extracting variables and their relationships from different documents, integrating the extracted information, and presenting the integrated information using a variable-based framework. Two important summarization steps – information extraction and information integration were evaluated by comparing system-generated output against human-generated output. Results indicate that the system-generated output achieves good precision and recall while extracting important concepts from each document, as well as good clusters of similar concepts from the set of documents.
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Keywords
- Important Concept
- Information Extraction
- Information Integration
- Contextual Relation
- Dissertation Abstract
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Boros, E., Kanto, P.B., Neu, D.J.: A clustering based approach to creating multi-document summaries. In: Document Understanding Conferences 2002 (2002), Available at, http://www-nlpir.nist.gov/projects/duc/pubs/2001papers/rutgers_final.pdf
Harabagiu, S.M., Lacatusu, F.: Generating single and multi-document summaries with GISTEXTER. In: Document Understanding Conferences 2002 (2002), Available at, http://www-nlpir.nist.gov/projects/duc/pubs/2002papers/utdallas_sanda.pdf
Macskassy, S.A., Banerjee, A., Davison, B.D., Hirsh, H.: Human performance on clustering Web pages: A preliminary study. In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 264–268. AAAI Presss, Menlo Park (1998)
Mani, I., Bloedorn, E.: Summarization similarities and differences among related documents. Information Retrieval 1(1), 1–23 (1999)
Mckeown, K., Radev, D.: Generating summaries of multiple news articles. In: Proceedings of the 18th Annual International ACM Conference on Research and Development in Information Retrieval (ACM SIGIR), Seattle, WA, pp. 74–82 (1995)
National Institute of Standards and Technology. In: Document Understanding Conferences (2002), Available at, http://www-nlpir.nist.gov/projects/duc/index.html
Otterbacher, J.C., Winkel, A.J., Radev, D.R.: The Michigan single and multi-document summarizer for DUC 2002. In: Document Understanding Conferences 2002 (2002), Available at, http://www-nlpir.nist.gov/projects/duc/pubs/2002papers/umich_otter.pdf
Ou, S., Khoo, C., Goh, D.: Multi-document summarization of dissertation abstracts using a variable-based framework. In: Proceedings of the 66th Annual Meeting of the American Society for Information Science and Technology (ASIST), Long Beach, CA, October 19-23, pp. 230–239 (2003)
Ou, S., Khoo, C., Goh, D., Heng, H.-H.: Automatic discourse parsing of sociology dissertation abstracts as sentence categorization. In: Proceedings of the 8th International ISKO Conference, London, UK, July 13-16, pp. 345–350 (2004)
Pasi, J., Timo, J.: A non-projective dependency parser. In: Proceedings of the 5th Conference on Applied Natural Language Processing, Washington, DD. Association for Computational Linguistics, pp. 64–71 (1997)
Radev, D.: A common theory of information fusion from multiple text sources step one: cross-document structure. In: Proceedings of the 1st SIGdial Workshop on Discourse and Dialogue (2000), Available at, http://www.sigdial.org/sigdialworkshop/proceedings/radev.pdf
Radev, D., Jing, H., Budzikowska, M.: Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation and user studies. In: Workshop held with Applied Natural Language Processing Conference / Conference of the North American Chapter of the Association for Computational Linguistics (ANLP/ANNCL), pp. 21–29 (2000)
Trochim, W.: The research methods knowledge base. Atomic Dog Publishing, Cincinnati (1999)
White, M., Korelsky, T., Cardie, C., Ng, V., Pierce, D., Wagstaff, K.: Multi-document summarization via information extraction. In: Proceedings of the 1st International Conference on Human Language Technology Research, HLT 2001 (2001)
Zhang, Z., Blair-Goldensohn, S., Radev, D.: Towards CST-enhanced summarization. In: Proceedings of the 18th National Conference on Artificial Intelligence (AAAI-2002), Edmonton, Canada, August 2002 (2002)
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Ou, S., Khoo, C.S.G., Goh, D.H. (2005). A Multi-document Summarization System for Sociology Dissertation Abstracts: Design, Implementation and Evaluation. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2005. Lecture Notes in Computer Science, vol 3652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551362_40
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DOI: https://doi.org/10.1007/11551362_40
Publisher Name: Springer, Berlin, Heidelberg
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