Fine-grained sense distinctions are one of the major obstacles to successful Word Sense Disambiguation. In this paper, we present a method for reducing the granularity of the WordNet sense inventory based on the mapping to a manually crafted dictionary encoding sense hierarchies, namely the Oxford Dictionary of English. We assess the quality of the mapping and the induced clustering, and evaluate the performance of coarse WSD systems in the Senseval-3 English all-words task.
Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation Performance / Navigli, Roberto. - STAMPA. - (2006), pp. 105-112. (Intervento presentato al convegno COLING-ACL 2006 tenutosi a Sydney, Australia nel July 17-21st, 2006).
Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation Performance
NAVIGLI, ROBERTO
2006
Abstract
Fine-grained sense distinctions are one of the major obstacles to successful Word Sense Disambiguation. In this paper, we present a method for reducing the granularity of the WordNet sense inventory based on the mapping to a manually crafted dictionary encoding sense hierarchies, namely the Oxford Dictionary of English. We assess the quality of the mapping and the induced clustering, and evaluate the performance of coarse WSD systems in the Senseval-3 English all-words task.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
