TY - GEN
T1 - Acquiring knowledge from the web to be used as selectors for noun sense disambiguation
AU - Schwartz, Hansen A.
AU - Gomez, Fernando
PY - 2008
Y1 - 2008
N2 - This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Words, called selectors, are acquired which take the place of an instance of a target word in its local context. The selectors serve for the system to essentially learn the areas or concepts of WordNet that the sense of a target word should be a part of. The correct sense is chosen based on a combination of the strength given from similarity and relatedness measures overWordNet and the probability of a selector occurring within the local context. Our method is evaluated using the coarse-grained all-words task from SemEval 2007. Experiments reveal that pathbased similarity measures perform just as well as information content similarity measures within our system. Overall, the results show our system is out-performed only by systems utilizing training data or substantially more annotated data.
AB - This paper presents a method of acquiring knowledge from the Web for noun sense disambiguation. Words, called selectors, are acquired which take the place of an instance of a target word in its local context. The selectors serve for the system to essentially learn the areas or concepts of WordNet that the sense of a target word should be a part of. The correct sense is chosen based on a combination of the strength given from similarity and relatedness measures overWordNet and the probability of a selector occurring within the local context. Our method is evaluated using the coarse-grained all-words task from SemEval 2007. Experiments reveal that pathbased similarity measures perform just as well as information content similarity measures within our system. Overall, the results show our system is out-performed only by systems utilizing training data or substantially more annotated data.
UR - https://www.scopus.com/pages/publications/77958584991
U2 - 10.3115/1596324.1596343
DO - 10.3115/1596324.1596343
M3 - Conference contribution
AN - SCOPUS:77958584991
SN - 1905593481
SN - 9781905593484
T3 - CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning
SP - 105
EP - 112
BT - CoNLL 2008 - Proceedings of the Twelfth Conference on Computational Natural Language Learning
PB - Association for Computational Linguistics (ACL)
T2 - 12th Conference on Computational Natural Language Learning, CoNLL 2008
Y2 - 16 August 2008 through 17 August 2008
ER -