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首页> 外文会议>International Conference on Discovery Science >What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
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What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?

机译：通过使用连接标记作为线索，可以从文本获取什么样的因果知识？

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摘要

This paper reports the results of our ongoing research into the automatic acquisition of causal knowledge. We created a new typology for expressing the causal relations ― cause, effect, precond(ition) and means ― based mainly on the volitionality of the related events. Prom our experiments using the Japanese resultative connective "tame", we achieved 80% recall with over 95% precision for the cause, precond and means relations, and 30% recall with 90% precision for the effect relation. The results indicate that over 27, 000 instances of causal relations can be acquired from one year of Japanese newspaper articles.
机译：本文将我们正在进行的研究的结果报告为自动获取因果知识。我们创建了一种表达因果关系的新类型 - 原因，效果，精神（Ition）和手段主要是基于相关事件的译文。 PROM我们的实验采用日本结果结缔组织的“驯服”，我们达到了80％的召回，对原因，替代和意味着关系超过95％的精确度，30％回忆效应关系90％的精度。结果表明，在日本报纸文章一年中可以获得超过27,000个因果关系实例。

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