Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study
Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study
复制标题
通过众包获取结构化时间表示：可行性研究
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Nianwen Xue
中科院分区：
文献类型：
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作者：
Yuchen Zhang;Nianwen Xue
时间依赖树是一种结构化的时间表示，它以依赖树结构的形式表示文本中时间表达式和事件之间的时间关系。与传统的成对时态关系表示相比，时态依赖树促进了高效的注释、更高的注释器间协议和高效的计算。然而，到目前为止，时间依赖树上的注释都是由专家注释人员完成的，这既昂贵又耗时。本文介绍了一种众包时间依赖树注释的方法，并证明了该方法具有直观的特点，通过众包可以获得较高的准确性和一致性。我们生成了一个时间依赖树语料库，并提出了一个基线时间依赖解析器，在这个新语料库上进行了训练和评估。
Temporal Dependency Trees are a structured temporal representation that represents temporal relations among time expressions and events in a text as a dependency tree structure. Compared to traditional pair-wise temporal relation representations, temporal dependency trees facilitate efficient annotations, higher inter-annotator agreement, and efficient computations. However, annotations on temporal dependency trees so far have only been done by expert annotators, which is costly and time-consuming. In this paper, we introduce a method to crowdsource temporal dependency tree annotations, and show that this representation is intuitive and can be collected with high accuracy and agreement through crowdsourcing. We produce a corpus of temporal dependency trees, and present a baseline temporal dependency parser, trained and evaluated on this new corpus.