Automatic text summarization using a machine learning approach

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

Volumn 2507, Issue , 2002, Pages 205-215

  Neto, Joel Larocca ^a   Freitas, Alex A ^a   Kaestner, Celso A A ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS;

AUTOMATIC SUMMARIZATION; AUTOMATIC TEXT SUMMARIZATION; COMPUTATIONAL RESULTS; MACHINE LEARNING APPROACHES; RECENT RESEARCHES; RELEVANT FEATURES; SUMMARY GENERATION; TEXT DATABASE;

MACHINE LEARNING;

EID: 84948137316     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36127-8_20     Document Type: Conference Paper

References (24)

1. Barzilay, R.; Elhadad, M. Using Lexical Chains for Text Summarization. In Mani, I.; Maybury, M. T. (eds.). In Proceedings of the ACL/EACL-97 Workshop on Intelligent Scalable Text Summarization, Association of Computional Linguistics (1997)
2. Brandow, R.; Mitze, K., Rau, L. Automatic condensation of electronic publications by sentence selection. Information Processing and Management 31(5) (1994) 675-685
3. Brill, E. A simple rule-based part-of-speech tagger. In Proceedings of the Third Conference on Applied Comp. Linguistics. Assoc. for Computational Linguistics (1992)
4. Carbonell, J. G.; Goldstein, J. The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of SIGIR-98 (1998)
5. Edmundson, H. P. New methods in automatic extracting. Journal of the Association for Computing Machinery 16 (2) (1969) 264-285
6. Harman, D. Data Preparation. In Merchant, R. (ed.). The Proceedings of the TIPSTER Text Program Phase I. Morgan Kaufmann Publishing Co. (1994)
7. Kupiec, J.; Pedersen, J. O.; Chen, F. A trainable document summarizer. In Proceedings of the 18th ACM-SIGIR Conference, Association of Computing Machinery (1995) 68-73
8. Larocca Neto, J.; Santos, A. D.; Kaestner, C.A.; Freitas, A.A. Document clustering and text summarization. Proc. of 4th Int. Conf. Practical Applications of Knowledge Discovery and Data Mining (PADD-2000) London: The Practical Application Company (2000) 41-55
9. Luhn, H. The automatic creation of literature abstracts. IBM Journal of Research and Development 2(92) (1958) 159-165
10. Mani, I.; House, D.; Klein, G.; Hirschman, L.; Obrsl, L.; Firmin, T.; Chrzanowski, M.; Sundheim, B. The TIPSTER SUMMAC Text Summarization Evaluation. MITRE Technical Report MTR 98W0000138. The MITRE Corporation (1998)
11. Mani, I.; Bloedorn, E. Machine Learning of Generic and User-Focused Summarization. In Proceedings of the Fifteenth National Conference on AI (AAAI-98) (1998) 821-826
12. Mani, I. Automatic Summarization. J. Benjamins Publ. Co. Amsterdam Philadelphia (2001)
13. Marcu, D. Discourse trees are good indicators of importance in text. In Mani., I.; Maybury, M. (eds.). Adv. in Automatic Text Summarization. The MIT Press (1999) 123-136
14. Mitchell, T. Machine Learning. McGraw-Hill (1997)
15. Mitra, M.; Singhal, A.; Buckley, C. Automatic text summarization by paragraph extraction. In Proceedings of the ACL’97/EACL’97 Workshop on Intelligent Scalable Text Summarization. Madrid (1997)
16. Nevill-Manning, C. G.; Witten, I. H. Paynter, G. W. et al. KEA: Practical Automatic Keyphrase Extraction. ACM DL 1999 (1999) 254-255
17. Porter, M.F. An algorithm for suffix stripping. Program 14, 130-137. 1980. Reprinted in: Sparck-Jones, K.; Willet, P. (eds.) Readings in Information Retrieval. Morgan Kaufmann (1997) 313-316
18. Quinlan, J. C4.5: Programs for Machine Learning. Morgan Kaufmann Sao Mateo California (1992)
19. Rath, G. J.; Resnick A.; Savvage R. The formation of abstracts by the selection of sentences. American Documentation 12 (2) (1961) 139-141
20. Salton, G.; Buckley, C. Term-weighting approaches in automatic text retrieval. Information Processing and Management 24, 513-523. 1988. Reprinted in: Sparck-Jones, K.; Willet, P. (eds.) Readings in I.Retrieval. Morgan Kaufmann (1997) 323-328
21. Sparck-Jones, K. Automatic summarizing: factors and directions. In Mani, I.; Maybury, M. Advances in Automatic Text Summarization. The MIT Press (1999) 1-12
22. Strzalkowski, T.; Stein, G.; Wang, J.; Wise, B. A Robust Practical Text Summarizer. In Mani, I.; Maybury, M. (eds.), Adv. in Autom. Text Summarization. The MIT Press (1999)
23. Teufel, S.; Moens, M. Argumentative classification of extracted sentences as a first step towards flexible abstracting. In Mani, I.; Maybury M. (eds.). Advances in automatic text summarization. The MIT Press (1999)
24. Yaari, Y. Segmentation of Expository Texts by Hierarchical Agglomerative Clustering. Technical Report, Bar-Ilan University Israel (1997)