Sort by:

• Highly Influential Citations
• Citations
• Acceleration
• Velocity
• Recency

Learn More

An Analysis of Prerequisite Skills for Reading Comprehension

• Saku Sugawara, Akiko Aizawa
• 2016

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)

Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems

• Saku Sugawara, Hikaru Yokono, Akiko Aizawa
• AAAI
• 2017

EMNLP 2016 Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods

• Annie, Michael, +66 authors Mark Steedman
• 2016

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)

Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts

• Kimi Kaneko, Saku Sugawara, Koji Mineshima, Daisuke Bekki
• 2016

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)

Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability

• Saku Sugawara, Yusuke Kido, Hikaru Yokono, Akiko Aizawa
• ACL
• 2017

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)

• ‹
• 1
• ›