Semantic Relation Extraction from a Cultural Database
نویسندگان
چکیده
Semantic relation extraction aims to extract relation instances from natural language texts. In this paper, we propose a semantic relation extraction approach based on simple relation templates that determine relation types and their arguments. We attempt to reduce semantic drift of the arguments by using named entity models as semantic constraints. Experimental results indicate that our approach is very promising. We successfully apply our approach to a cultural database and discover more than 18,000 relation instances with expected high accuracy.
منابع مشابه
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