TY - CHAP
T1 - Applications
AU - Gelbukh, Alexander
AU - Calvo, Hiram
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - In this chapter, we propose a method for extracting selectional preferences that are linked to an ontology: namely, WordNet. This information is used, among other possible applications, to perform word sense disambiguation. An evaluation of this method, using Senseval-2, is also given. The results of this experiment are comparable to those obtained by Resnik when he used selectional preferences for the English language; however, our proposed method is more advantageous in that it does not require any previous morphological, syntactic, or semantic annotation of the text.
AB - In this chapter, we propose a method for extracting selectional preferences that are linked to an ontology: namely, WordNet. This information is used, among other possible applications, to perform word sense disambiguation. An evaluation of this method, using Senseval-2, is also given. The results of this experiment are comparable to those obtained by Resnik when he used selectional preferences for the English language; however, our proposed method is more advantageous in that it does not require any previous morphological, syntactic, or semantic annotation of the text.
UR - http://www.scopus.com/inward/record.url?scp=85042864646&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-74054-6_6
DO - 10.1007/978-3-319-74054-6_6
M3 - Capítulo
AN - SCOPUS:85042864646
T3 - Studies in Computational Intelligence
SP - 69
EP - 83
BT - Studies in Computational Intelligence
PB - Springer Verlag
ER -