Generating event causality hypotheses through semantic relations
作者： Julien Kloetzer , Chikara Hashimoto , Jong-Hoon Oh , Kentaro Torisawa
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摘要: Event causality knowledge is indispensable for intelligent natural language understanding. The problem is that any method for extracting event causalities from text is insufficient; it is likely that some event causalities that we can recognize in this world are not written in a corpus, no matter its size. We propose a method of hypothesizing unseen event causalities from known event causalities extracted from the web by the semantic relations between nouns. For example, our method can hypothesize" deploy a security camera"->" avoid …
acm.org参考文章(32)
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