Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches
Shuming Shi, Huibin Zhang, Xiaojie Yuan, Ji-Rong Wen · 2010
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. 1 Introduction1 Computing the semantic relationship between terms, which has wide applications in natural language processing and web search, has been a