Cross-lingual training of summarization systems using annotated corpora in a foreign language

Information Retrieval

Volumn 16, Issue 5, 2013, Pages 629-656

  Litvak, Marina ^a   Last, Mark ^b  

^a NEGEV ACADEMIC COLLEGE OF ENGINEERING   (Israel)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Cross lingual training; Genetic Algorithm; Multilingual summarization

Indexed keywords

EID: 84884594653     PISSN: 13864564     EISSN: 15737659     Source Type: Journal    
DOI: 10.1007/s10791-012-9210-3     Document Type: Article

References (49)

1. Aker, A., Cohn, T., & Gaizauskas, R. (2010). Multi-document summarization using A* search and discriminative training. In Proceedings of the 2010 conference on empirical methods in natural language processing (pp. 482-491). Cambridge, Massachusetts.
2. Alfonseca, E., & Rodriguez, P. (2003). Generating extracts with genetic algorithms. In Proceedings of the 2003 European conference on information retrieval (ECIR'2003) (pp. 511-519). Pisa, Italy.
3. Baxendale, P. B. (1958). Machine-made index for technical literaturean experiment. IBM Journal of Research and Development, 2, 354-361.
4. Beyer, H.-G., & Schwefel, H.-P. (2002) Evolution strategies: A comprehensive introduction. Natural Computing, 1, 3-52.
5. Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems, 30, 107-117.
6. Burke, E., Gustafson, S., & Kendall, G. (2004). Diversity in genetic programming: An analysis of measures and correlation with fitness. IEEE Transactions on Evolutionary Computation, 8, 47-62.
7. DUC (2002). Document understanding conference. http://duc. nist. gov.
8. Edmundson, H. P. (1969). New methods in automatic extracting. Journal of the ACM16(2), 264-285.
9. Erkan, G., & Radev, D. R. (2004). LexRank: Graph-based lexical centrality as salience in text summarization. Journal of Artificial Intelligence Research, 22, 457-479.
10. Friedman, M., & Kandel, A. (1994). Fundamentals of computer numerical analysis. Boca Raton, FL: CRC Press.
11. Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley.
12. Goldstein, J., Kantrowitz, M., Mittal, V., & Carbonell, J. (1999). Summarizing text documents: Sentence selection and evaluation metrics. In Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval (pp. 121-128). Berkeley, California, USA.
13. Gulli, A., & Signorini, A. (2005). The indexable web is more than 11. 5 billion pages. http://www. cs. uiowa. edu/∼asignori/web-size/.
14. Hassel, M., & Sjobergh, J. (2006). Towards holistic summarization: Selecting summaries, not sentences. In Proceedings of LREC-International conference on language resources and evaluation.
15. Hovy, E. (2001). Multilingual information management: Current levels and future abilities. Linguistica computazionale. Istituti editoriali e poligrafici internazionali.
16. Kallel, F. J., Jaoua, M., Hadrich, L. B., & Hamadou, A. B. (2004). Summarization at LARIS Laboratory. In Proceedings of the document understanding conference.
17. Kleinberg, J. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM), 46, 604-632.
18. Lin, C., & Hovy, E. (1997). Identifying topics by position. In Proceedings of the fifth conference on applied natural language processing (pp. 283-290).
19. Lin, C.-Y. (2004a). Looking for a few good metrics: Automatic summarization evaluation-How many samples are enough?. In Proceedings of NTCIR-4 (pp. 1-10).
20. Lin, C.-Y. (2004b). ROUGE: A package for automatic evaluation of summaries. In Proceedings of the workshop on text summarization branches out (WAS 2004) (pp. 25-26).
21. Lin, C.-Y., & Hovy, E. (2003). Automatic evaluation of summaries using N-gram co-occurrence statistics. In NAACL '03: Proceedings of the 2003 conference of the North American chapter of the association for computational linguistics on human language technology (pp. 71-78). Edmonton, Canada.
22. Litvak, M. (2010). New methodologies for language-independent extractive summarization. Doctoral dissertation, Kreitman School of Advanced Graduate Studies.
23. Litvak, M., Aizenman, H., Gobits, I., Last, M., & Kandel, A. (2011). DegExt-A language-independent graph-based keyphrase extractor. In Proceedings of the 7th Atlantic web intelligence conference (AWIC 2011) (pp. 121-130). Fribourg, Switzerland.
24. Litvak, M., Kisilevich, S., Keim, D., Lipman, H., Gur, A. B., & Last, M. (2010a). Towards language-independent summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora. In Proceedings of the 4th workshop on cross lingual information access (CLIA) (pp. 61-69). Beijing, China: Coling 2010 Organizing Committee.
25. Litvak, M., & Last, M. (2008). Graph-based keyword extraction for single-document summarization. In Proceedings of the workshop on multi-source multilingual information extraction and summarization (pp. 17-24).
26. Litvak, M., Last, M., & Friedman, M. (2010b). A new approach to improving multilingual summarization using a Genetic Algorithm. In ACL '10: Proceedings of the 48th annual meeting of the association for computational linguistics (pp. 927-936). Uppsala, Sweden.
27. Liu, D., He, Y., Ji, D., & Yang, H. (2006a). Genetic algorithm based multi-document summarization. In Proceedings of the 9th Pacific rim international conference on artificial intelligence (pp. 1140-1144). Guilin, China.
28. Liu, D., Wang, Y., Liu, C., & Wang, Z. (2006b). Multiple documents summarization based on genetic algorithm. In Fuzzy systems and knowledge discovery, Vol. 4223 of Lecture Notes in Computer Science (pp. 355-364).
29. Luhn, H. P. (1958). The automatic creation of literature abstracts. IBM Journal of Research and Development, 2, 159-165.
30. Mani, I. (2001). Automatic summarization. Natural language processing. Amsterdam: John Benjamins Publishing Company.
31. Mihalcea R. (2005). Language independent extractive summarization. In AAAI'05: Proceedings of the 20th national conference on artificial intelligence (pp. 1688-1689).
32. Neto, J., Santos, A., Kaestner, C., & Freitas, A. (2000). Generating text summaries through the relative importance of topics. Lecture Notes in Computer Science (pp. 300-309).
33. Nobata, C., Sekine, S., Murata, M., Uchimoto, K., Utiyama, M., & Isahara, H. (2001). Sentence extraction system assembling multiple evidence. In Proceedings of 2nd NTCIR workshop (pp. 319-324).
34. Orǎsan, C., Evans, R., & Mitkov, R. (2000). Enhancing preference-based anaphora resolution with genetic algorithms. In Proceedings of the second international conference on natural language processing (pp. 185-195). Patras, Greece.
35. Ouyang, Y., Li, W., Li, S., & Lu, Q. (2011). Applying regression models to query-focused multi-document summarization. Information Processing and Management, 47, 227-237.
36. Radev, D., Blair-Goldensohn, S., & Zhang, Z. (2001). Experiments in single and multidocument summarization using MEAD. In Proceedings of the first document understanding conference (DUC).
37. Saggion, H., Bontcheva, K., & Cunningham, H. (2003). Robust generic and query-based summarisation. In EACL '03: Proceedings of the tenth conference on European chapter of the association for computational linguistics.
38. Salton, G., Singhal, A., Mitra, M., & Buckley, C. (1997). Automatic text structuring and summarization. Information Processing and Management, 33, 193-207.
39. Schenker, A., Bunke, H., Last, M., & Kandel, A. (2004). Classification of web documents using graph matching. International Journal of Pattern Recognition and Artificial Intelligence, 18, 475-496.
40. Schenker, A., Bunke, H., Last, M., & Kandel, A. (2005). Graph-theoretic techniques for web content mining. Singapore: World Scientific.
41. Steinberger, J., & Jezek, K. (2004). Text summarization and singular value decomposition. Lecture Notes in Computer Science, pp. 245-254.
42. Teufel, S., & Moens, M. (1997). Sentence extraction as a classification task. In Proceedings of the workshop on intelligent scalable summarization, ACL/EACL conference (pp. 58-65). Madrid, Spain.
43. Turney, P. D. (2000). Learning algorithms for keyphrase extraction. Information Retrieval, 2, 303-336.
44. Vanderwende, L., Suzuki, H., Brockett, C., & Nenkova, A. (2007). Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion. Information Processing and Management, 43, 1606-1618.
45. Varga, R. (1962). Matrix iterative methods. Englewood Cliffs NJ: Prentice-Hall.
46. Vignaux, G. A., & Michalewicz, Z. (1991). A genetic algorithm for the linear transportation problem. IEEE Transactions on Systems, Man and Cybernetics, 21, 445-452.
47. Wan, X. (2008). Using only cross-document relationships for both generic and topic-focused multi-document summarizations. Information Retrieval, 11, 25-49.
48. Wan, X., Li, H., & Xiao, J. (2010). Cross-language document summarization based on machine translation quality prediction. In ACL '10: Proceedings of the 48th annual meeting of the association for computational linguistics (pp. 917-926). Uppsala, Sweden.
49. Wong, K., Wu, M., & Li, W. (2008). Extractive summarization using supervised and semi-supervised learning. In Proceedings of the 22nd international conference on computational linguistics-Volume 1 (pp. 985-992).