TY - GEN
T1 - Word sense disambiguation with semantic networks
AU - Tsatsaronis, George
AU - Varlamis, Iraklis
AU - Vazirgiannis, Michalis
PY - 2008
Y1 - 2008
N2 - Word sense disambiguation (WSD) methods evolve towards exploring all of the available semantic information that word thesauri provide. In this scope, the use of semantic graphs and new measures of semantic relatedness may offer better WSD solutions. In this paper we propose a new measure of semantic relatedness between any pair of terms for the English language, using WordNet as our knowledge base. Furthermore, we introduce a new WSD method based on the proposed measure. Experimental evaluation of the proposed method in benchmark data shows that our method matches or surpasses state of the art results. Moreover, we evaluate the proposed measure of semantic relatedness in pairs of terms ranked by human subjects. Results reveal that our measure of semantic relatedness produces a ranking that is more similar to the human generated one, compared to rankings generated by other related measures of semantic relatedness proposed in the past.
AB - Word sense disambiguation (WSD) methods evolve towards exploring all of the available semantic information that word thesauri provide. In this scope, the use of semantic graphs and new measures of semantic relatedness may offer better WSD solutions. In this paper we propose a new measure of semantic relatedness between any pair of terms for the English language, using WordNet as our knowledge base. Furthermore, we introduce a new WSD method based on the proposed measure. Experimental evaluation of the proposed method in benchmark data shows that our method matches or surpasses state of the art results. Moreover, we evaluate the proposed measure of semantic relatedness in pairs of terms ranked by human subjects. Results reveal that our measure of semantic relatedness produces a ranking that is more similar to the human generated one, compared to rankings generated by other related measures of semantic relatedness proposed in the past.
KW - Semantic networks
KW - Word sense disambiguation
KW - WordNet
UR - http://www.scopus.com/inward/record.url?scp=53049086697&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-87391-4_29
DO - 10.1007/978-3-540-87391-4_29
M3 - Contribución a la conferencia
AN - SCOPUS:53049086697
SN - 3540873902
SN - 9783540873907
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 219
EP - 226
BT - Text, Speech and Dialogue - 11th International Conference, TSD 2008, Proceedings
T2 - 11th International Conference on Text, Speech and Dialogue, TSD 2008
Y2 - 8 September 2008 through 12 September 2008
ER -