Automatic text summarization of scientific articles based on classification of extract’s population

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2588, Issue , 2003, Pages 623-634

  Jaoua, Maher ^a   Hamadou, Abdelmajid Ben ^a  

^a LARIS Laboratory   (Tunisia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; GENETIC ALGORITHMS;

AUTOMATIC TEXT SUMMARIZATION; CONVENTIONAL METHODS; GLOBAL CRITERIA; MINIMAL UNITS; SCIENTIFIC ARTICLES; SCIENTIFIC PAPERS; SUMMARIZATION SYSTEMS;

TEXT PROCESSING;

EID: 77950806955     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36456-0_70     Document Type: Conference Paper

References (18)

1. Luhn, H.P.: The Automatic creation of literature Abstracts. In: IBM J.R & D2-2 (1958) 156–165
2. Edmundson, H.P.: New methods in automatic extracting. In: Newspaper of ACM tea, 16, 2 (1969) 264–85
3. Paice, C.D., and et al.: The identification of important concepts in highly structures technical papers. In: proceeding of sixteenth annual international ACM SIGIR Conference, ACM PRESS (1993) 69–78
4. Boguraev, B., Kennedy, C.: Salience-based Content Characterization of Text Documents. In: Proceedings of the Workshop on Intelligent Scalable Text Summarization. ACL/EACL Conference Madrid Spain (1997) 2–9
5. Gerard, S., Allan, J., Singhal, A.: Automatic text decomposition and structuring. In: Information Procssing & Management, 32(2) (1996) 127–138.
6. Kan, M.Y., Klavans, J., McKeown, K.: Using the Annotated Bibliography as a Resource for Indicative Summarization. In: Proc LREC 2002 Las Palmas Spain (2002)
7. Goldstein, J., Kantrowitz, M., Mittal, V., Carbonell, J. (1999).: Summarizing text Documents: sentence selection and evaluation metrics. In: proceeding of SIGIR’99 (1999)
8. Kupiec, J., and et al.: A trainable document summarizer. In: SIGIR 95 Sattle Wa, USA, (1995)
9. Conroy, J., Leary, D.P.O.: Text Summarization via Hidden Markov Models and Pivoted QR Matrix Decomposition. Technical Report, Dept.Comp.Sci. CS-TR-221. Univ. Maryland (2001)
10. Minel, J.L., et al.: Seraphin, système pour l'extraction automatique d’énoncés importants. dans: les actes du colloque IA 95- Quinzièmes journées internationales de génie linguistiques Montpellier France (1995)
11. Marcu, D.: Discourse-based summarization in duc-200. In: Proceedings of the Document Understanding,Conference DUC’01 (2001)
12. Teufel, S., Moens, M.: Sentence Extraction as a Classification Task. In: Proceedings of the Workshop on Intelligent Scalable Summarization ACL/EACL Conference Madrid Spain (1997) 58–65
13. Mckeown, R.K., and et al.: Generating summaries of multiple news Articles. In: proceeding of the Seventeenth Annual International ACM/SIGIR Washington (1995) 74–82
14. Strzalkowski, T., Wand, J., Wise, B.: A robust practical text summarization. In: AAAI 98 Spring Symposium on Intelligent Text Summarization (1998) 26–33
15. Holland, J.H. and et al.: Classified systems and genetic algorithms. In: revue Artificial Intelligence N°40 (1989) 235–282
16. Srivinas, N., Deb, K.: Multiobjective optimization using nondominated sorting in genetic Algorithms. Technical report, Department of Mechanical Engineering, Institute of Technology India (1993)
17. Marcu, D.: The automatic construction of large-scale corpora for summarization research. In: The 22nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’99). Berkeley, CA, (1999) 137–144
18. Orasan, C.: Building annotated resources for automatic text summarisation. In: Proceedings of LREC-2002. Las Palmas, Spain 2002.