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Extraction

Sentence Extraction - Limited semantics

• Barzilay, R. and M. Elhadad. (1998). Using lexical chains for text summarization. Proceedings of the ACL-97/EACL97 Workshop on Intelligent Scalable Text Summarization, Madrid, Spain, pp. 1017.   [local copy]

Sentence Extraction - Machine Learning on simple features

• J. Goldstein, M. Kantrowitz, V. O. Mittal, and J. Carbonell. (1999) Summarizing Text Documents: Sentence Selection and Evaluation Metrics. In Proceedings of SIGIR-99, Berkeley, CA, August 1999.  [local copy]
• Kupiec, J., Pedersen, J. O., and Chen, F. (1995). A trainable document summarizer. In SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA., pages 68--73. ACM Press.  [local copy]
• Eduard Hovy and Chin-Yew Lin. (1997) Automated text summarization in SUMMARIST. In ACL/EACL-97 Workshop on Intelligent Scalable Text Summarization, pages 18--24, Madrid, Spain, July 1997. [local copy]
• Lin, C., and Hovy, E. (1997). Identifying topics by position. In Proceedings of the Fifth Conference on Applied Natural Language Processing (ANLP--97), 283--290.  [local copy]
• Lin, C-Y. (1997). Robust Automated Topic Identification. Ph.D. dissertation, University of Southern California.   [local copy]
• Turney, P.D. (2000) Learning algorithms for keyphrase extraction. Information Retrieval, 2 (4). 2000.  [local copy]
• S. Teufel and M. Moens. (1997) Sentence extraction as a classification task. In ACL/EACL-97 Workshop on Intelligent and Scalable Text Summarization, Madrid, Spain, 1997.   [local copy]
• Teufel, S., and Moens, M. (1998). Sentence extraction and rhetorical classification for flexible abstracts. In Spring AAAI Symposium on Intelligent Text summarization.   [local copy]
• Teufel, S. ; Moens, M. Argumentative classification of extracted sentences as a first step towards flexible abstracting. In: I. Mani, M. Maybury (eds.), Advances in automatic Text Summarization, MIT Press, 1999   [local copy]

Sentence Extraction - using Latent Semantic Indexing

• Hongyuan Zha. (2002) Generic Summarization and Keyphrase Extraction Using Mutual Reinforcement Principle and Sentence Clustering,  Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 113-120, August 11-15, 2002, in Tampere, Finland. [local copy]
• Yihong Gong, Xin Liu (2001) Generic Text Summarization Using Relevance Measure and Latent Semantic Analysis. SIGIR 2001: 19-25  [local copy]

Segmentation

• Branimir Boguraev and Mary Neff. (2000). Discourse segmentation in aid of document summarization. In Proceedings of Hawaii International Conference on System Sciences (HICSS- 33), Minitrack on Digital Documents Understanding, Maui, Hawaii. IEEE. [local copy]
• Automatic Text Summarization by Paragraph Extraction. Mandar Mitra, Amit Singhal, Chris Buckley. Proceedings of the ACL Workshop on Intelligent and Scalable Text Summarization, 39-46, 1997.
• Automatic Text Decomposition Using Text Segments and Text Themes. Gerard Salton, Amit Singhal, Chris Buckley, Mandar Mitra, Hypertext '96, 53-65, 1996.

Miscellaneous (as yet uncategorised... )

• Byron Georgantopoulos' MSc dissertation: Automatic summarising based on sentence extraction: A statistical approach
• Massih-Réza Amini, Patrick Gallinari (2002) "Apprentissage numérique pour le résumé de texte" in  Le résumé de texte automatique : solutions et perspectives  

• Tombros, A. and Sanderson M. (1998) "Advantages of Query Biased Summaries" in Information Retrieval. In Proceedings of the 21 st ACM/SIGIR Conference, pp. 2-10, 1998. [local copy]

see my other summarisation page

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