바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Article Contents

Prev Next
e-Submission

Vol.23 No.4
Citation Share

A Study on the Construction of the Automatic Summaries - on the basis of Straight News in the Web -

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2006, v.23 no.4, pp.41-67
https://doi.org/10.3743/KOSIM.2006.23.4.041

(2006). A Study on the Construction of the Automatic Summaries - on the basis of Straight News in the Web -. Journal of the Korean Society for Information Management, 23(4), 41-67, https://doi.org/10.3743/KOSIM.2006.23.4.041
  • Downloaded
  • Viewed
PDF Download

Abstract

The writings frame and various rules based on discourse structure and knowledge-based methods were applied to construct the automatic Ext/Sums (extracts & summaries) system from the straight news in web. The frame contains the slot and facet represented by the role of paragraphs, sentences, and clauses in news and the rules determining the type of slot. Rearrangement like Unification, separation, and synthesis of the candidate sentences to summary, maintaining the coherence of meanings, were also used the rules derived from similar degree measurement, syntactic information, discourse structure, and knowledge-based methods and the context plots defined with the syntactic/semantic signature of noun and verb and category of verb suffix. The critic sentence were tried to insert into summary

keywords
문맥정의, 보도기사, 역할, 웹, 의미범주, 자동요약, automatic summarization, concept plot, rhetorical role, semantic category, straight news, web, automatic summarization, concept plot, rhetorical role, semantic category, straight news, web

Reference

1.

(1994.). 설명적 텍스트의 내용 구조 분석방법과 교육적 적용 연구. , -.

2.

이태영. (2005). 자동 발췌문/요약 시스템 구축에 관한 연구-학술지 논문기사를 중심으 로. 39(3), 139-163.

3.

Allen, E.S. (1999). How reliable is science information on the Web? 722. quoted in E.T. Jepsen Characteristics of Scientific Web Publications. 402(722), -.

4.

Boguraev,. (1999). Salience-based Content Characterization of Text Documents quoted in I. Mani and M.T. Maybury . 1999. Advanced in Automatic Text Summarization. Cambridge the MIT Press.. , -.

5.

Drott, M.. (2002). Indexing aids at corporate Websites The use of robots.txt and META tags 209-219. quoted in E.T. Jepsen Characteristics of Scientific Web Publications. 38, 209-219.

6.

Hovy, E.. (1999). Automated Text Summarization in SUMMARIST. , -.

7.

Jepsen, E.T. (2004). Characteristics of Scientific Web Publications: Preliminary Data Gathering and Analysis. 55(14), 1239-1249.

8.

Jones, K. S.. (1999). Automatic summarizing: factors and directions. , -.

9.

Lawrence, S.. (1999). Accessiblity of information on the Web. Nature 107-109. quoted in E.T. Jepsen Characteristics of Scientific Web Publications. 55(14), 1239-1249.

10.

Lawrence, S. (1999). Indexing and retrieval of scientific literature＂ quoted in E.T. Jepsen, P. Seiden, P. Ingwersen, & L. Bjorneborn. 2004＂Characteristics of Scientific Web Publications: Preliminary Data Gathering and Analysis. 55(14), 1239-1249.

11.

Lehnert W.G. (1999). Plot Unit: A Narrative Summarization Strategy. , -.

12.

Mani, I. (1999). Advanced in Automatic Text Summarization. , -.

13.

Mani, I.. (2001). Automatic Summarization. , -.

14.

Mann W. toward a functional theory of text organization 243-281 quoted in D. Marcu. 1999 Discourse trees are good indicators of importance in text quoted in I. Mani and M.T. Maybury . 1999. Advanced in Automatic Text Summarization. Cambridge the MIT Press.. , -8.

15.

Marcu, D.. (1999). Discourse trees are good indicators of importance in text. , -.

16.

Moens, M-F. (1999). Abstracting of Legal Cases The Pontential of Clustering Based on the Selection of Representative Objects. 50, 151-161.

17.

Moens, M-F.Boston. (2000). Automatic Indexing and Abstracting of Document Texts. , -.

18.

Radev, D.R. (1998). Generating Natural Language Summaries from Mutiple On-line Sources. 24, 469-500.

19.

Salton, G., J. Allen,. (1996). Automatic text decomposition and structuring. 32, 127-138.

20.

Strzalkowski, T. (1999). A Robust Practical Text Summarizer. , -.

21.

Schutze, H. (1998). Automatic word sense discrimination. 24, 97-123.

22.

Talja, S. (2005). The Social and Discourse Construction of Computing Skills. 56(1), 13-22.

23.

Teufel, S.. (1999). Argumentive classification of extracted sentences as a first step towards flexible abstracting quoted in I. Mani and M.T. Maybury . 1999. Advanced in Automatic Text Summarization. Cambridge the MIT Press.. , -.

Journal of the Korean Society for Information Management

e-Submission OA Policy