Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2004.11B.5.563

Sentence ion : Sentence Revision with Concept ion  

Kim, Gon (울산대학교 대학원 컴퓨터.정보통신공학부)
Yang, Jaegun (울산대학교 대학원 컴퓨터.정보통신공학)
Bae, Jaehak (울산대학교 컴퓨터.정보통신공학)
Lee, Jonghyuk (포항공과대학교 컴퓨터공학과)
Abstract
Sentence ion is a simplification of a sentence preserving its communicative function. It accomplishes sentence revision and concept ion simultaneously. Sentence revision is a method that resolves the discrepancy between human's thoughts and its expressed semantic in sentences. Concept ion is an expression of general ideas acquired from the common elements of concepts. Sentence ion selects the main constituents of given sentences and describes the upper concepts of them with detecting their semantic information. This enables sen fence revision and concept ion simultaneously. In this paper, a syntactic parser LGPI+ and an ontology OfN are utilized for sentence ion. Sentence abstracter SABOT makes use of LGPI+ and OfN. SABOT processes the result of parsing and selects the candidate words for sentence ion. This paper computes the sentence recall of the main sentences and the topic hit ratio of the selected sentences with the text understanding system using sentence ion. The sources are 58 paragraphs in 23 stories. As a result of it, the sentence recall is about .54 ~ 72% and the topic hit ratio is about 76 ~ 86%. This paper verified that sentence ion enables sentence revision that can select the topic sentences of a given text efficiently and concept ion that can improve the depth of text understanding.
Keywords
Sentence ion; Sentence Revision; Concept ion;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Souther, J. W. and White, M. L., 'Technical report writing,' second edition. Wiley-Interscience, John Wiley & Sons, New York, 1977
2 Luhn, H. P., 'The Automatic Creation of Literature Abstracts,' IBM Journal of Research and Development, Vol.2, No.2, pp.159-165, 1993   DOI
3 Bae, J.-H. J. and Lee, J.-H., 'Another Investigation of Automatic Text Summarization : A Reader-Oriented Approach,' In Proceedings of ANZIIS '94 (Australian and New Zealand Conference on Intelligent Information Systems), pp.472-476, 1994   DOI
4 DearAbby, http://www.dearabby.com/
5 김곤, 김민찬, 배재학, 이종혁, 'ISAAC : 문장분석용 통합시스템 및 사용자 인터페이스', 정보처리학회논문지B, 제11-B권 제1호, pp.107-116, 2004   과학기술학회마을   DOI
6 Huls, C., Bos, E., Claassen, W., 'Automatic Referent Resolution of Deictic and Anaphoric Expressions,' Computational Linguistics, Vol.21, No.1, pp.59-79, 1995
7 Bae, J.-H. and Lee, J.-H., 'Topic Sentence Selection with Mid-Depth Understanding', Proc. of ICCPOL, pp.199-204, 2001
8 Jing, H., 'Sentence Reduction for Automatic Text Summarization.' In Proceedings of The 6th Applied Natural Language Processing Conference and the First Meetion of the North American Chapter of the Association for Computational Linguistics (ANLP-NAACL '2000), pp.310-315, 1999   DOI
9 Grefenstette, G., 'Producing Intelligent Telegraphic Text Reduction to Provide an Audio Scanning Service for the blind,' In Working Notes of the Workshop on Intelligent Text Summarization, pp.111-117, 1998
10 Robin, J., 'Revision-based generation of natural language summaries providing historical background : corpus-based analysis, design and implementation,' Ph.D. Thesis, Columbia University, 1994
11 Marcu, D., 'From Discourse Structures to Text Summaries,' in Proc. ACL'97 and EACL'97 Workshop on Intelligent Scalable Text Summarization, Madrid, Spain, pp. 82-88, Jul., 1997
12 Knight, K. and Marcu, D., 'Statistics-Based Summarization - Step One : Sentence Compression,' The 17th National Conference of the American Association for Artificial Intelligence AAAI '2000, Outstanding Paper Award, Austin, Texas, July-August, 2000
13 Cremmins, E. T., 'The Art of Abstracting,' Information Resources Press, 1996
14 Link Grammar, http://www.link.cs.cmu.edu/link
15 Bae, J.-H. and Lee, J.-H., 'Mid-Depth Text Understanding by Abductive Chains for Topic Sentence Selection,' IJCPOL, Vol.15, No.3, pp. 341-357, 2002
16 SWI-Prolog, http://www.swi-prolog.org/
17 Roget's Thesaurus, http://promo.net/cgi-promo/pg/t9.cgi?ftp://ibiblio.org/pub/docsftp://ibiblio.org/pub/docs/books/gutenberg/
18 배재학, '언어학적인 방법론을 취하는 자동 문서요약에 대한 연구', 울산대학교, 공학연구논문집, 제29권 제2호, pp.351-363, 1998
19 양재군, 배재학, '온톨로지 정보를 이용한 범주 재편성: Roget 시소러스의 경', 정보처리학회 춘계학술발표대회 논문집, 제9권 제1호, pp.515-518, 2002   과학기술학회마을
20 Mani, I., 'Automatic Summarization', John Benjamins Publishing Company, 2001
21 Proper Names Wordlist. http://clr.nmsu.edu/cgi-bin/Tools/CLR/clrcat#I4
22 Barzilay, R. and Elhadad, M., 'Using Lexical Chains for Text Summarization,' in Proc. ISTS'97 (The Intelligent Scalable Text Summarization Workshop, ACL), Madrid, Spain, pp.10-17, Jul., 1997
23 C. Fellbaum (ed.), WordNet : An Electronic Lexical Database, MIT Press, 1998