Istituto di Scienza e Tecnologie dell'Informazione     
Esuli A., Marcheggiani D., Sebastiani F. ISTI@SemEval-2 Task 8: boosting-based multiway relation classification. In: SEMEVAL'10 - 5th International Workshop on Semantic Evaluation (Uppsala, Sweden, 15-16 July 2010). Proceedings, pp. 218 - 221. Katrin Erk, Carlo Strapparava (eds.). Association for Computational Linguistics, 2010.
We describe a boosting-based supervised learning approach to the "Multi-Way Classification of Semantic Relations between Pairs of Nominals" task #8 of SemEval-2. Participants were asked to determine which relation, from a set of nine relations plus "Other", exists between two nominals, and also to determine the roles of the two nominals in the relation. Our participation has focused, rather than on the choice of a rich set of features, on the classification model adopted to de- termine the correct assignment of relation and roles.
Subject Experimental evaluation
Information Extraction
Relation extraction
H.3.3 Information Search and Retrieval
I.2.7 Natural Language Processing

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