A Dynamic Programming Model for Text Segmentation Based on Min-Max Similarity-Reference-Cited by-同舟云学术

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A Dynamic Programming Model for Text Segmentation Based on Min-Max Similarity

Published: Issue: Volume: Page:141-152
ISSN:
Container-title:Information Retrieval Technology
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Author:

Ye Na,Zhu Jingbo,Zheng Yan,Ma Matthew Y.,Wang Huizhen,Zhang Bin

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-68636-1_14.pdf

Reference17 articles.

1. Boguraev, B.K., Neff, M.S.: Discourse segmentation in aid of document summarization. In: 33rd Hawaii International Conference on System Sciences, Hawaii (2000)

2. Hearst, M.A.: Multi-paragraph segmentation of expository text. In: 32nd Annual Meeting of the Association for Computational Linguistics, New Mexico, pp. 9–16 (1994)

3. Brants, T., Chen, F., Tsochantarides, I.: Topic-based document segmentation with probabilistic latent semantic analysis. In: 11th International Conference on Information and Knowledge Management, Virginia, pp. 211–218 (2002)

4. Reynar, J.C.: An automatic method of finding topic boundaries. In: 32nd Annual Meeting of the Association for Computational Linguistics, New Mexico, pp. 331–333 (1994)

5. Heinonen, O.: Optimal Multi-Paragraph Text Segmentation by Dynamic Programming. In: 17th International Conference on Computational Linguistics, Montreal, pp. 1484–1486 (1998)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Iterative Approach to Text Segmentation;Lecture Notes in Computer Science;2011

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