论文标题
从数据集回收到多专业提取及以后
From Dataset Recycling to Multi-Property Extraction and Beyond
论文作者
论文摘要
本文研究了有关WikiReading信息提取和机器阅读理解数据集的各种变压器体系结构。提出的双源模型的表现优于当前的最新边距。接下来，我们介绍WikiReading Recyycled-新开发的公共数据集和多个属性提取的任务。它使用与WikiReading相同的数据，但并未继承其前身确定的缺点。此外，我们还提供了一个具有诊断子集的人类注销的测试集，以详细分析模型性能。
This paper investigates various Transformer architectures on the WikiReading Information Extraction and Machine Reading Comprehension dataset. The proposed dual-source model outperforms the current state-of-the-art by a large margin. Next, we introduce WikiReading Recycled-a newly developed public dataset and the task of multiple property extraction. It uses the same data as WikiReading but does not inherit its predecessor's identified disadvantages. In addition, we provide a human-annotated test set with diagnostic subsets for a detailed analysis of model performance.
