Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches
نویسندگان
چکیده
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.
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تاریخ انتشار 2010