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

Main approaches to corpus-based semantic 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 frequencybased rule to select appropriate approaches for different types of terms.

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Shuming Shi, Huibin Zhang, Xiaojie Yuan, Ji-Rong Wen
• Keywords: Appropriate Approaches, COLING 2010, Computational Linguistics, Corpus-based Semantic Class, Distributional Similarity