Sentence descending algorithm for automatic text summarization

Tiedan Zhu; Qiongxin Liu

doi:10.1109/ICCIS.2011.249

Sentence descending algorithm for automatic text summarization

Tiedan Zhu^*, Qiongxin Liu

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a novel method for automatic text summarization. The topic space model is built through the Chinese Restaurant Process. The documents are mapped to the topic space from vector space. Sentence descending algorithm is introduced to create the summary. An experiment is illustrated on DUC2006 data and the results prove the proposed method effective and well performed.

Original language	English
Title of host publication	Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011
Pages	301-304
Number of pages	4
DOIs	https://doi.org/10.1109/ICCIS.2011.249
Publication status	Published - 2011
Event	2011 International Conference on Computational and Information Sciences, ICCIS 2011 - Chengdu, Sichuan, China Duration: 21 Oct 2011 → 23 Oct 2011

Publication series

Name	Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011

Conference

Conference	2011 International Conference on Computational and Information Sciences, ICCIS 2011
Country/Territory	China
City	Chengdu, Sichuan
Period	21/10/11 → 23/10/11

Keywords

Automatic Text Summarization
Chinese Restaurant Process
Sentence descending algorithm
Topic Space Model

Access to Document

10.1109/ICCIS.2011.249

Cite this

Zhu, T., & Liu, Q. (2011). Sentence descending algorithm for automatic text summarization. In Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011 (pp. 301-304). Article 6086195 (Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011). https://doi.org/10.1109/ICCIS.2011.249

@inproceedings{13395fa6c5474af4b0d8c1c51a70e7fb,

title = "Sentence descending algorithm for automatic text summarization",

abstract = "This paper proposes a novel method for automatic text summarization. The topic space model is built through the Chinese Restaurant Process. The documents are mapped to the topic space from vector space. Sentence descending algorithm is introduced to create the summary. An experiment is illustrated on DUC2006 data and the results prove the proposed method effective and well performed.",

keywords = "Automatic Text Summarization, Chinese Restaurant Process, Sentence descending algorithm, Topic Space Model",

author = "Tiedan Zhu and Qiongxin Liu",

year = "2011",

doi = "10.1109/ICCIS.2011.249",

language = "English",

isbn = "9780769545011",

series = "Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011",

pages = "301--304",

booktitle = "Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011",

note = "2011 International Conference on Computational and Information Sciences, ICCIS 2011 ; Conference date: 21-10-2011 Through 23-10-2011",

}

Zhu, T & Liu, Q 2011, Sentence descending algorithm for automatic text summarization. in Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011., 6086195, Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011, pp. 301-304, 2011 International Conference on Computational and Information Sciences, ICCIS 2011, Chengdu, Sichuan, China, 21/10/11. https://doi.org/10.1109/ICCIS.2011.249

Sentence descending algorithm for automatic text summarization. / Zhu, Tiedan; Liu, Qiongxin.
Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011. 2011. p. 301-304 6086195 (Proceedings - 2011 International Conference on Computational and Information Sciences, ICCIS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper proposes a novel method for automatic text summarization. The topic space model is built through the Chinese Restaurant Process. The documents are mapped to the topic space from vector space. Sentence descending algorithm is introduced to create the summary. An experiment is illustrated on DUC2006 data and the results prove the proposed method effective and well performed.

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KW - Chinese Restaurant Process

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KW - Topic Space Model

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T2 - 2011 International Conference on Computational and Information Sciences, ICCIS 2011

Y2 - 21 October 2011 through 23 October 2011

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Sentence descending algorithm for automatic text summarization

Abstract

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Keywords

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