Textual energy of associative memories: Performant applications of enertex algorithm in text summarization and topic segmentation

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

Volumn 4827 LNAI, Issue , 2007, Pages 861-871

  Fernández, Silvia ^a,b   SanJuan, Eric ^a   Torres Moreno, Juan Manuel ^a,c  

^a UNIVERSITY OF AVIGNON   (France)

^b CNRS   (France)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Automatic summarization; Statistical methods; Statistical physics; Topic segmentation

Indexed keywords

ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; PROBLEM SOLVING; STATISTICAL METHODS;

AUTOMATIC SUMMARIZATION; STATISTICAL PHYSICS; TOPIC SEGMENTATION;

ASSOCIATIVE STORAGE;

EID: 38149108159     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76631-5_82     Document Type: Conference Paper

References (18)

1. Hopfield, J.: Neural networks and physical systems with emergent collective computational abilities. National Academy of Sciences 9, 2554-2558 (1982)
2. Hertz, J., Krogh, A., Palmer, G.: Introduction to the theorie of Neural Computation. Addison Wesley, Redwood City, CA (1991)
3. Salton, G., McGill, M.: Introduction to modern information retrieval. Computer Science Series. McGraw-Hill, New York (1983)
4. Ma, S.: Statistical Mechanics. World Scientific, Philadelphia, CA (1985)
5. Kosko, B.: Bidirectional associative memories. IEEE Transactions Systems Man, Cybernetics 18, 49-60 (1988)
6. Porter, M.: An algorithm for suffix stripping. Program 14, 130-137 (1980)
7. Manning, C.D., Schutze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (2000)
8. Máni, I., Maybury, M.T.: Automatic Text Summarization. MIT Press, Cambridge (1999)
9. Radev, D., Winkel, A., Topper, M.: Multi Document Centroid-based Text Summarization. In: ACL 2002 (2002)
10. Torres-Moreno, J.M., Velázquez-Morales, P., Meunier, J.: Condensés de textes par des méthodes numériques. In: JADT. vol. 2, pp. 723-734 (2002)
11. Lin, C.Y.: Rouge: A package for automatic evaluation of summaries. In: WAS 2004 (2004)
12. Amini, M.R., Zaragoza, H., Gallinari, P.: Learning for sequence extraction tasks. In: RIAO 2000 pp. 476-489 (2000)
13. Caillet, M., Pessiot, J.F., Amini, M., Gallinari, P.: Unsupervised learning with term clustering for thematic segmentation of texts. In: RIAO 2004, pp. 648-657 (2004)
14. Chuang, S.L., Chien, L.F.: A practical web-based approach to generating Topic hierarchy for Text segments. In: ACM IKM, Washington, pp. 127-136 (2004)
15. Sitbon, L., Bellot, P.: Segmentation thématique par chaînes lexicales pondérées. In: TALN 2005, vol. 1 pp. 505-510 (2005)
16. Brants, T., Chen, F., Tsochantaridis, L: Topic-based document segmentation with probabilistic latent semantic anaysis. In: CIKM 2002, Virginia, USA, pp. 211-218 (2002)
17. Galley, M., McKeown, K.R., Fosler-Lussier, E., Jing, H.: Discourse segmentation of multi-party conversation. In: ACL-2003, Sapporo, Japan, pp. 562-569 (2003)
18. Pevzner, L., Hearst, M.: A critique and improvement of an evaluation metric for text segmentation. In: Computational Linguistic, vol. 1, pp. 19-36 (2002)