Evaluating the Word Sense Disambiguation Accuracy with Three Different Sense Inventories
Dan Ioan Tufis, Radu Ion · 2005
Comparing performances of word sense disambiguation systems is a very difficult evaluation task when different sense inventories are used and, even more difficult when the sense distinctions are not of the same granularity. The paper substantiates this statement by briefly presenting a system for word sense disambiguation (WSD) based on parallel corpora. The method relies on word alignment, word clustering and is supported by a lexical ontology made of aligned wordnets for the languages in the corpora. The wordnets are aligned to the Princeton Wordnet, according to the principles established by EuroWordNet. The evaluation of the WSD system was performed on the same data, using three different granularity sense inventories.