Saku Sugawara

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In this paper, we focus on the synthetic understanding of documents, specifically reading comprehension (RC). A current problem with RC is the need for a method of analyzing the RC system performance to realize further development. We propose a methodology for examining RC systems from multiple viewpoints. Our methodology consists of three steps: define a(More)
This paper proposes a methodology for building a specialized Japanese data set for recognizing temporal relations and discourse relations. In addition to temporal and discourse relations, multilayered situational relations that distinguish generic and specific states belonging to different layers in a discourse are annotated. Our methodology has been(More)
Knowing the quality of reading comprehension (RC) datasets is important for the development of natural-language understanding systems. In this study, two classes of metrics were adopted for evaluating RC datasets: prerequisite skills and readability. We applied these classes to six existing datasets, including MCTest and SQuAD, and highlighted the(More)
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