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Why-Question Answering using Intra- and Inter-Sentential Causal Relations

机译:使用句内和句间因果关系回答问题

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In this paper, we explore the utility of intra- and inter-sentential causal relations between terms or clauses as evidence for answering why-questions. To the best of our knowledge, this is the first work that uses both intra- and inter-sentential causal relations for why-QA. We also propose a method for assessing the appropriateness of causal relations as answers to a given question using the semantic orientation of excitation proposed by Hashimoto et al. (2012). By applying these ideas to Japanese why-QA, we improved precision by 4.4% against all the questions in our test set over the current state-of-the-art system for Japanese why-QA. In addition, unlike the state-of-the-art system, our system could achieve very high precision (83.2%) for 25% of all the questions in the test set by restricting its output to the confident answers only.
机译:在本文中,我们探讨了术语或从句之间的句子内和句子间因果关系的实用性,以此作为回答为什么问题的证据。据我们所知,这是第一项同时使用句子内和句子间因果关系进行Why-QA的工作。我们还提出了一种方法,它使用Hashimoto等人提出的激发的语义取向来评估因果关系是否适合作为给定问题的答案。 (2012)。通过将这些想法应用到日语Why-QA,相对于当前最新的Japanese Why-QA系统,我们对测试集中的所有问题的准确性提高了4.4%。此外,与最新系统不同,我们的系统仅将输出限制为有把握的答案,就可以对测试集中所有问题的25%达到很高的精度(83.2%)。

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