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Exploring the steps of Verb Phrase Ellipsis

机译:探索动词短语省略的步骤

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Verb Phrase Ellipsis is a well-studied topic in theoretical linguistics but has received little attention as a computational problem. Here we propose a decomposition of the overall resolution problem into three tasks-target detection, antecedent head resolution, and antecedent boundary detection-and implement a number of computational approaches for each one. We also explore the relationships among these tasks by attempting joint learning over different combinations. Our new decomposition of the problem yields significantly improved performance on publicly available datasets, including a newly contributed one.
机译:动词短语省略是理论语言学中一个经过充分研究的主题,但作为计算问题却很少受到关注。在这里,我们提出将整体分辨率问题分解为三个任务:目标检测,先行头部分辨率和先行边界检测,并为每一个实现多种计算方法。我们还尝试通过不同组合的联合学习来探索这些任务之间的关系。我们对问题的新分解大大改善了公共数据集(包括新贡献的数据集)的性能。

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