TY - JOUR
T1 - Automatic text summarizing based on sentence extraction
T2 - A statistical approach
AU - Cranganu-Cretu, Bogdan
AU - Chen, Zhenmao
AU - Uchimoto, Tetsuya
AU - Miya, Kenzo
PY - 2001
Y1 - 2001
N2 - The present work describes a system for automatic summarizing of texts. Rather than focusing on abstracts C a hard NLP task of not asserted effectiveness the system produces extracts through selection of most important sentences in the original text. Statistical concepts are involved in order to evaluate the degree of significance of words, groups of words and sentences. Currently both Japanese and English texts can be treated. Procedures for computing importance, information content of sentences and measures of correlation between sentences are implemented. Comments are given on the feasibility of the approach and future developments.
AB - The present work describes a system for automatic summarizing of texts. Rather than focusing on abstracts C a hard NLP task of not asserted effectiveness the system produces extracts through selection of most important sentences in the original text. Statistical concepts are involved in order to evaluate the degree of significance of words, groups of words and sentences. Currently both Japanese and English texts can be treated. Procedures for computing importance, information content of sentences and measures of correlation between sentences are implemented. Comments are given on the feasibility of the approach and future developments.
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UR - http://www.scopus.com/inward/citedby.url?scp=0035788984&partnerID=8YFLogxK
U2 - 10.3233/jae-2002-513
DO - 10.3233/jae-2002-513
M3 - Article
AN - SCOPUS:0035788984
SN - 1383-5416
VL - 13
SP - 19
EP - 23
JO - International Journal of Applied Electromagnetics and Mechanics
JF - International Journal of Applied Electromagnetics and Mechanics
IS - 1-4 SPEC.
ER -