TY - GEN
T1 - Fuzzy word similarity
T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
AU - Manna, Sukanya
AU - Mendis, B. Sumudu U.
PY - 2010
Y1 - 2010
N2 - In this paper we present a hybrid measure of semantic word similarity using fuzzy inference system which combines both the corpus based distance measures as well as gloss overlap to get the final similarity between two words. We use WordNet as a lexical dictionary to get semantic information about words. We show that this new measure reasonably correlates to human judgments and the average performance is boosted by using triangular membership function in the output.
AB - In this paper we present a hybrid measure of semantic word similarity using fuzzy inference system which combines both the corpus based distance measures as well as gloss overlap to get the final similarity between two words. We use WordNet as a lexical dictionary to get semantic information about words. We show that this new measure reasonably correlates to human judgments and the average performance is boosted by using triangular membership function in the output.
UR - http://www.scopus.com/inward/record.url?scp=78549292485&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2010.5584785
DO - 10.1109/FUZZY.2010.5584785
M3 - Conference contribution
SN - 9781424469208
T3 - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010
BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010
Y2 - 18 July 2010 through 23 July 2010
ER -