Pattern Learning and Active Feature Selection for Word Sense Disambiguation
Rada F. Mihalcea, DAN I. MOLDOVAN · 2001
We present here the main ideas of the algorithm employed in the SMUls and SMU aw systems. These systems have participated in the SENSEVAL-2 competition attaining the best performance for both English all words and English lexical sample tasks1. The algorithm has two main components (1) pattern learning from available sense tagged corpora (SemCor) and dictionary definitions (WordNet), and (2) instance based learning with active feature selection, when training data is available for a particular word. 1