Identifying Text Objects Based on Expansion
Kohta Ohkubo, Takao Miura · 2007
In this investigation, we propose a sophisticated approach to identify items in several dictionaries for the purpose of integration. To identity synonymous words efficiently, we discuss IR approach based on vector space modeling to sentences in item explanations, without any knowledge of grammatical analysis or any other NLP analysis. We show the usefulness by some experimental results.