TY - GEN
T1 - Performance enhancement of Hierarchical Document Signature
T2 - 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
AU - Manna, Sukanya
AU - Gedeon, Tom
PY - 2011
Y1 - 2011
N2 - Hierarchical Document Signature (HDS) has been successfully applied in document computing to find similarity between different pieces of text [1], [2], [3]; for example sentence-sentence similarity, sentence-phrase similarity. HDS is application specific, it is dependent on different features at different levels. This paper hence presents a comprehensive study of enhancement of the performance of HDS to find semantic sentence similarity by tuning some of its significant features. The experimental results support this and show the optimal conditions at which HDS performs similarly to humans.
AB - Hierarchical Document Signature (HDS) has been successfully applied in document computing to find similarity between different pieces of text [1], [2], [3]; for example sentence-sentence similarity, sentence-phrase similarity. HDS is application specific, it is dependent on different features at different levels. This paper hence presents a comprehensive study of enhancement of the performance of HDS to find semantic sentence similarity by tuning some of its significant features. The experimental results support this and show the optimal conditions at which HDS performs similarly to humans.
KW - Fuzzy signature
KW - Hierarchical Document Signature
KW - sentence similarity
KW - word similarity
UR - http://www.scopus.com/inward/record.url?scp=80053078805&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2011.6007657
DO - 10.1109/FUZZY.2011.6007657
M3 - Conference contribution
SN - 9781424473175
T3 - IEEE International Conference on Fuzzy Systems
SP - 1874
EP - 1881
BT - FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Y2 - 27 June 2011 through 30 June 2011
ER -