TY - GEN
T1 - A Survey of Machine Narrative Reading Comprehension Assessments
AU - Sang, Yisi
AU - Mou, Xiangyang
AU - Li, Jing
AU - Stanton, Jeffrey
AU - Yu, Mo
N1 - Funding Information:
This research was supported, in part, by the NSF (USA) under Grant Numbers CNS–1948457.
Publisher Copyright:
© 2022 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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U2 - 10.24963/ijcai.2022/779
DO - 10.24963/ijcai.2022/779
M3 - Conference contribution
AN - SCOPUS:85137938862
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 5580
EP - 5587
BT - Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022
A2 - De Raedt, Luc
A2 - De Raedt, Luc
PB - International Joint Conferences on Artificial Intelligence
T2 - 31st International Joint Conference on Artificial Intelligence, IJCAI 2022
Y2 - 23 July 2022 through 29 July 2022
ER -