UC3M: classification of semantic relations between nominals using sequential minimal optimization

Authors:
Isabel Segura Bedmar;Doaa Samy;Jose L. Martinez
Affiliations:
University Carlos III of Madrid;University Carlos III of Madrid;University Carlos III of Madrid
Venue:
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Year:
2007

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Abstract

This paper presents a method for automatic classification of semantic relations between nominals using Sequential Minimal Optimization. We participated in the four categories of SEMEVAL task 4 (A: No Query, No Wordnet; B: WordNet, No Query; C: Query, No WordNet; D: WordNet and Query) and for all training datasets. Best scores were achieved in category B using a set of feature vectors including lexical file numbers of nominals obtained from WordNet and a new feature WordNet Vector designed for the task.