{"type":"ScholarlyArticle","title":"A Survey of Machine Narrative Reading Comprehension Assessments","authors":[{"name":"Yisi Sang","slug":"yisi-sang","given":"Yisi","family":"Sang","affiliation":"Syracuse University"},{"name":"Xiangyang Mou","slug":"xiangyang-mou","given":"Xiangyang","family":"Mou","affiliation":"Rensselaer Polytechnic Institute"},{"name":"Jing Li","slug":"jing-li","given":"Jing","family":"Li","affiliation":"New Jersey Institute of Technology"},{"name":"Jeffrey Stanton","slug":"jeffrey-stanton","given":"Jeffrey","family":"Stanton","affiliation":"Syracuse University"},{"name":"Mo Yu","slug":"mo-yu","given":"Mo","family":"Yu","affiliation":"WeChat AI , Tencent Inc."}],"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.","doi":"10.24963/ijcai.2022/779","url":"https://ijcai.org/proceedings/2022/779","pdf":"https://ijcai.org/proceedings/2022/0779.pdf","markdown":"https://ijcai.org/proceedings/2022/779.md","bibtex":"https://ijcai.org/proceedings/2022/bibtex/779","volume":{"slug":"2022","title":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2022","url":"https://ijcai.org/proceedings/2022/","year":2022,"location":"Vienna","dates":"23-29 July 2022","editors":"Luc De Raedt","isbn":"978-1-956792-00-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2022"},"section":"Survey Track","track":"Survey Track","number":779,"pages":{"first":5580,"last":5587},"keywords":["Survey Track: Natural Language Processing"],"videos":[{"label":"Video #1","url":"https://slideslive.com/38987309","length_sec":55,"provider":"slideslive"},{"label":"Video #2","url":"https://slideslive.com/38985452","length_sec":303,"provider":"slideslive"}],"references":[{"position":1,"raw":"[Bajgar et al., 2016] Ondrej Bajgar, Rudolf Kadlec, and Jan Kleindienst. 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