@inproceedings{6c24217e4a1348ad903e27647eefc249,
title = "A Survey of Machine Narrative Reading Comprehension Assessments",
abstract = "As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of different benchmark tasks. Based on narrative theories, reading comprehension theories, as well as existing machine narrative reading comprehension tasks and datasets, we propose a typology that captures the main similarities and differences among assessment tasks; and discuss the implications of our typology for new task design and the challenges of narrative reading comprehension.",
author = "Yisi Sang and Xiangyang Mou and Jing Li and Jeffrey Stanton and Mo Yu",
note = "Funding Information: This research was supported, in part, by the NSF (USA) under Grant Numbers CNS–1948457. Publisher Copyright: {\textcopyright} 2022 International Joint Conferences on Artificial Intelligence. All rights reserved.; 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 ; Conference date: 23-07-2022 Through 29-07-2022",
year = "2022",
language = "English (US)",
series = "IJCAI International Joint Conference on Artificial Intelligence",
publisher = "International Joint Conferences on Artificial Intelligence",
pages = "5580--5587",
editor = "{De Raedt}, Luc and {De Raedt}, Luc",
booktitle = "Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022",
}