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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.16 No.4
- 발행연도
- 2016.12
- 수록면
- 293 - 298 (6page)
이용수
초록· 키워드
오류제보하기
Document summarization is an important task in various areas where the goal is to select a few the most descriptive sentences from a given document as a succinct summary. Even without training data of human labeled summaries, there has been several interesting existing work in the literature that yields reasonable performance. In this paper, within the same unsupervised learning setup, we propose a more principled learning framework for the document summarization task. Specifically we formulate an optimization problem that expresses the requirements of both faithful preservation of the document contents and the summary length constraint. We circumvent the difficult integer programming originating from binary sentence selection via continuous relaxation and the low entropy penalization. We also suggest an efficient convex-concave optimization solver algorithm that guarantees to improve the original objective at every iteration. For several document datasets, we demonstrate that the proposed learning algorithm significantly outperforms the existing approaches.
목차
Abstract
1. Introduction
2. Baselines for Document Summarization
3. Our Approach
4. Empirical Evaluations
5. Conclusion
References
참고문헌 (10)
참고문헌 신청
[학술지(정기간행물)] - H. P. Luhn / 1958 / The Automatic Creation of Literature Abstracts / IBM Journal of Research and Development 2 (2) : 159 ~ 165
[학술대회논문] - C. Y. Lin / 2000 / The automated acquisition of topic signatures for text summarization / Proceedings of the 18th Conference on Computational Linguistics : 495 ~ 501
[학술대회논문] - J. Kupiec / 1995 / A trainable document summarizer / Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development In Information Retrieval : 68 ~ 73
[학술대회논문] - J. M. Conroy / 2001 / Text summarization via hidden Markov models / Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval : 406 ~ 407
[학술대회논문] - M. Osborne / 2002 / Using maximum entropy for sentence extraction / Proceedings of the ACL-02 Workshop on Automatic Summarization : 1 ~ 8
[학술대회논문] - C. Y. Lin / 2000 / The automated acquisition of topic signatures for text summarization / Proceedings of the 18th Conference on Computational Linguistics : 495 ~ 501
[학술대회논문] - J. Kupiec / 1995 / A trainable document summarizer / Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development In Information Retrieval : 68 ~ 73
[학술대회논문] - J. M. Conroy / 2001 / Text summarization via hidden Markov models / Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval : 406 ~ 407
[학술대회논문] - M. Osborne / 2002 / Using maximum entropy for sentence extraction / Proceedings of the ACL-02 Workshop on Automatic Summarization : 1 ~ 8
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UCI(KEPA) : I410-ECN-0101-2017-003-001907822