TY - GEN
T1 - Automatic semantic relation extraction with multiple boundary generation
AU - Beamer, Brandon
AU - Rozovskaya, Alia
AU - Girju, Roxana
PY - 2008
Y1 - 2008
N2 - This paper addresses the task of automatic classification of semantic relations between nouns. We present an improved WordNet-based learning model which relies on the semantic information of the constituent nouns. The representation of each noun's meaning captures conceptual features which play a key role in the identification of the semantic relation. We report substantial improvements over previous WordNet-based methods on the 2007 SemEval data. Moreover, our experiments show that WordNet's IS-A hierarchy is better suited for some semantic relations compared with others. We also compute various learning curves and show that our model does not need a large number of training examples.
AB - This paper addresses the task of automatic classification of semantic relations between nouns. We present an improved WordNet-based learning model which relies on the semantic information of the constituent nouns. The representation of each noun's meaning captures conceptual features which play a key role in the identification of the semantic relation. We report substantial improvements over previous WordNet-based methods on the 2007 SemEval data. Moreover, our experiments show that WordNet's IS-A hierarchy is better suited for some semantic relations compared with others. We also compute various learning curves and show that our model does not need a large number of training examples.
UR - http://www.scopus.com/inward/record.url?scp=57749204319&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57749204319&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:57749204319
SN - 9781577353683
T3 - Proceedings of the National Conference on Artificial Intelligence
SP - 824
EP - 829
BT - National Conference on Artificial Intelligence
T2 - 23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08
Y2 - 13 July 2008 through 17 July 2008
ER -