论文标题
Qadiscourse-作为质量质量质量的话语关系：代表，众包和基线
QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
论文作者
论文摘要
话语关系描述了两个命题如何相互关系，并自动识别它们是自然语言理解不可或缺的一部分。但是，注释的话语关系通常需要专家注释。最近，句子的不同语义方面已经通过问答（QA）对表示和众包。本文提出了一种新颖的话语关系形式为质量质量质量质量，这又使我们能够通过构成此类问题和答案的直觉吸引人的界面来注释与话语关系注释的广泛覆盖数据。根据我们提议的代表，我们收集了一个新颖而广泛的Qadiscourse数据集，并目前用于预测Qadiscourse关系的基线算法。
Discourse relations describe how two propositions relate to one another, and identifying them automatically is an integral part of natural language understanding. However, annotating discourse relations typically requires expert annotators. Recently, different semantic aspects of a sentence have been represented and crowd-sourced via question-and-answer (QA) pairs. This paper proposes a novel representation of discourse relations as QA pairs, which in turn allows us to crowd-source wide-coverage data annotated with discourse relations, via an intuitively appealing interface for composing such questions and answers. Based on our proposed representation, we collect a novel and wide-coverage QADiscourse dataset, and present baseline algorithms for predicting QADiscourse relations.
