TY - GEN
T1 - A fuzzy-rough hybrid approach to multi-document extractive summarization
AU - Huang, Hsun Hui
AU - Yang, Horng Chang
AU - Kuo, Yau Hwang
PY - 2009/11/27
Y1 - 2009/11/27
N2 - To generate a multi-document extractive summary, the measurement of sentence relevance is of vital importance. Earlier work, exploring statistics of textual terms at the word (surface) level, faces the problem that the textual terms may be synonymous or ploysemous. This may lead to misrank sentence relevance and may cause redundant information presented in the generated summary. Furthermore, the relationships between concepts expressed by natural languages are inherently fuzzy, which invites the use of fuzzy set and rough set theory. In this paper, we investigate some sentence features from a concept-level space and apply a fuzzy-rough hybrid scheme to define a sentence relevance measure. Our approach is applied to the DUC 2006 multi-document summarization tasks. The experimental results show our approach is promising and demonstrate the effectiveness of fuzzy set and rough set theory in the application of text summarization.
AB - To generate a multi-document extractive summary, the measurement of sentence relevance is of vital importance. Earlier work, exploring statistics of textual terms at the word (surface) level, faces the problem that the textual terms may be synonymous or ploysemous. This may lead to misrank sentence relevance and may cause redundant information presented in the generated summary. Furthermore, the relationships between concepts expressed by natural languages are inherently fuzzy, which invites the use of fuzzy set and rough set theory. In this paper, we investigate some sentence features from a concept-level space and apply a fuzzy-rough hybrid scheme to define a sentence relevance measure. Our approach is applied to the DUC 2006 multi-document summarization tasks. The experimental results show our approach is promising and demonstrate the effectiveness of fuzzy set and rough set theory in the application of text summarization.
UR - http://www.scopus.com/inward/record.url?scp=70450203082&partnerID=8YFLogxK
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U2 - 10.1109/HIS.2009.41
DO - 10.1109/HIS.2009.41
M3 - Conference contribution
AN - SCOPUS:70450203082
SN - 9780769537450
T3 - Proceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
SP - 168
EP - 173
BT - Proceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
T2 - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
Y2 - 12 August 2009 through 14 August 2009
ER -