Iterative Constrained Clustering for Subjectivity Word Sense Disambiguation
Cem Akkaya, Janyce Wiebe, Rada F. Mihalcea · 2014
Subjectivity word sense disambiguation (SWSD) is a supervised and application-specific word sense disambiguation task disambiguating between subjective and objective senses of a word. Not sur-prisingly, SWSD suffers from the knowl-edge acquisition bottleneck. In this work, we use a “cluster and label ” strategy to generate labeled data for SWSD semi-automatically. We define a new algo-rithm called Iterative Constrained Cluster-ing (ICC) to improve the clustering purity and, as a result, the quality of the gener-ated data. Our experiments show that the