Paper: Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches

ACL ID C10-1112
Title Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Main approaches to corpus-based seman- tic class mining include distributional similarity (DS) and pattern-based (PB). In this paper, we perform an empirical comparison of them, based on a publicly available dataset containing 500 million web pages, using various categories of queries. We further propose a frequency- based rule to select appropriate approach- es for different types of terms.