A summarization system for Chinese news from multiple sources

Journal of the American Society for Information Science and Technology

Volumn 54, Issue 13, 2003, Pages 1224-1236

  Chen, Hsin Hsi ^a   Kuo, June Jei ^a   Huang, Sheng Jie ^a   Lin, Chuan Jie ^a   Wung, Hung Chia ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SCIENCE; INTERNET; MATHEMATICAL MODELS; ONLINE SEARCHING;

CHINESE NEWS; MULTILINGUAL NEWS; MULTIPLE SOURCES; SUMMARIZATION SYSTEM;

INFORMATION RETRIEVAL SYSTEMS;

EID: 0142155062     PISSN: 15322882     EISSN: None     Source Type: Journal    
DOI: 10.1002/asi.10315     Document Type: Article

References (37)

1. Barzilay, R., Elhadad, N., & McKeown, K.R. (2001). Sentence ordering in multidocument summarization. In Proceedings of Human Language Technology Conference (HLT-2001), San Diego.
2. Brunn, M., Chali, Y., & Pinchak, C.J. (2001). Text summarization using lexical chains. In Proceedings of First Document Understanding Conference, New Orleans, LA.
3. Carbonell, J., & Goldstein, J. (1998). The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of the 12th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR '98) (pp. 335-336), Melbourne, Australia.
4. Chen, H.H. (1994). The contextual analysis of Chinese sentences with punctuation marks. Literal and Linguistic Computing, 9(4), 281-289.
5. Chen, H.H., Ding, Y.W., & Tsai, S.C. (1998). Named entity extraction for information retrieval. Computer Processing of Oriental Languages, Special Issue on Information Retrieval on Oriental Languages, 12(1), 75-85.
6. Chen, H.H., & Huang, S.J. (1999). A summarization system for Chinese news from multiple sources. In Proceedings of 4th International Workshop on Information Retrieval with Asia Language (pp. 1-7).
7. Chen H.H., Kuo, J.J., & Su, T.C. (2003). Clustering and visualization in a multi-lingual multi-document summarization system. In Proceedings of 25th European Conference on Information Retrieval Research, Lecture Note in Computer Science, 2633 (pp. 391-401), Springer.
8. Chen, H.H., Lin C.C., & Lin, W.C. (2002). Building a Chinese-English WordNet for translingual application. ACM Transactions on Asian Language Information Processing, 1(2), 103-122.
9. Chen, K.H., & Chen, H.H. (1995). A corpus-based approach to text partition. In Proceedings of International Conference of Recent Advances on Natural Language Processing (pp. 152-160), Tzigov Chark, Bulgaria.
10. Chen, K.H., Huang, S.J., Lin, W.C., & Chen, H.H. (1998). An NTU-approach to automatic sentence extraction for summary generation. In Proceedings of TIPSTER Text Phase III 18-Month Workshop, 4-6 May, Fairfax, VA.
11. Edmundson, H.P. (1964). Problems in automatic extracting. Communications of the ACM, 7, 259-263.
12. Edmundson, H.P. (1969). New methods in automatic extracting. Journal of the ACM, 16, 264-285.
13. Firmin Hand, T., & Sundheim, B. (1998). TIPSTER-SUMMAC Summarization Evaluation. In Proceedings of the TIPSTER Text Phase III Workshop, Washington.
14. Fukumoto, F., & Suzuki, Y. (2000). Event tracking based on domain dependency. In Proceedings of 23rd SIGIR (pp. 57-64).
15. Goldstein, J., Kantrowitz, M., Mittal, V., & Carbonell, J. (1999). Summarizing text documents: Sentences selection and evaluation metrics. In Proceedings of SIGIR 1999 (pp. 121-128).
16. Goldstein, J., Mittal, V., Carbonell, J., & Callan, J. (2000). Multi-document summarization by sentence extraction. In Proceedings of ANLP/NAACL Workshop on Summarization (pp. 40-48), Seattle, WA.
17. Hatzivassiloglou, V., Klavans, J.L., & Eskin, E. (1999). Detecting text similarity over short passages: Exploring linguistic feature combinations via machine learning. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-1999) (pp. 203-212), College Park, MD.
18. Hatzivassiloglou, V., Klavans, J.L., Holcombe, R., Barzilay, R., Kan, K.Y., & McKeown, K. R. (2001). SIMFINDER: A flexible clustering tool for summarization. In Proceedings of workshop of automatic summarization (NAACL-2001) (pp. 41-49), Pittsburgh.
19. Hovy, E., & Marcu, D. (1998). Automated text summarization. Tutorial in COLING/ACL98.
20. Kupiec, J.M., Peterson, J., & Chen, F. (1995). A trainable document summarizer. Proceeding of the 18th Annual International Conference on Research and Development in Information Retrieval (ACM SIGIR '95) (pp. 68-73), Seattle, WA.
21. Li, C.N., & Thompson, S.A. (1981). Mandarin Chinese: A functional reference grammar. Berkeley, CA: University of California Press.
22. Lin, C.J., & Chen, H. H. (1999). Description of preliminary results to TREC-8 QA task. In Proceedings of the Eighth Text Retrieval Conference (pp. 363-368).
23. Lin, C.J., Chen, H.H., Liu, C.J., Tsai, C.H., & Wung, H.C. (2001). Open domain question answering on heterogeneous data. In Proceedings of ACL Workshop on Human Language Technology and Knowledge Management (pp. 79-85), Toulouse, France.
24. Lin, C.Y., & Hovy, E. (1997). Identifying topics by position. In Proceedings of the 5th ACL Conference on Applied Natural Language Processing (pp. 283-290), Washington, DC.
25. Lin, C.Y., & Hovy, E. (2002). From single to multi-document summarization: A Prototype system and its evaluation. In Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL-02), Philadelphia, PA.
26. Luhn, H.P. (1958). The automatic creation of literature abstract. IBM Journal of Research and Development, 2(2), 159-165.
27. Mani, I., & Bloedorn, E. (1997). Multi-document summarization by graph search and matching. In Proceedings of the 14th National Conference on Artificial Intelligence (pp. 622-628), Providence, RI.
28. Mani, I., House, D., Klein, G., Hirschman, L., Firmin, T., & Sundheim, B. (1998). The TIPSTER SUMMAC Text Summarization Evaluation: Final report. Technique Report, Automatic Text Summarization Conference.
29. McKeown, K.R., Klavans, J. L., Hatzivassiloglou V., Barzilay, R., & Eskin, E. (1999). Toward multidocument summarization by reformulation: Progress and prospects. In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI-99) (pp. 453-460), Orlando, FL.
30. McKeown, K.R., & Radev, D.R. (1995). Generating summaries of multiple news articles. In Proceedings of 18th Annual International Conference on Research and Development in Information Retrieval (ACM SIGIR '95) (pp. 74-82), Seattle, WA.
31. Mei, C.J., Zhu, Y.M., Gao, Y.C., & Yin, H.S. (1982). tong2yi4ci2ci2lin2. Shanghai: Shanghai Dictionary Press.
32. MUC. (1998). Proceedings of 7th Message Understanding Competition. Available: http://www.muc.saic.com/proceedings/proceedings_index.html
33. Radev, D.R., Blair-Goldensohn, S., & Zhang, Z. (2001). Experiments in single and multi-document summarization using MEAD. In Proceedings of first document understanding conference, New Orleans, LA.
34. Radev, D.R., & McKeown, K. R. (1998). Generating natural language summaries from multiple on-line sources. Computational Linguistics, 24(3), 469-500.
35. Tsutomo, H., Sasaki, T., & Isozaki, H. (2001). An extrinsic evaluation for question-biased text summarization on QA tasks. In Proceeding of Workshop of Automatic Summarization (NAACL-2001) (pp. 61-81), Pittsburgh, PA.
36. Voorhees, E. (2000). QA track overview (TREC) 9. [On-line] Available: http://trec.nist.gov/presentations/TREC9/qa/index.htm
37. Yang, Y. (1981). The research on punctuation marks. Hong Kong: Tianjian Publishing Company.