{"type":"ScholarlyArticle","title":"Automated Essay Scoring: Recent Successes and Future Directions","authors":[{"name":"Shengjie Li","slug":"shengjie-li","given":"Shengjie","family":"Li","affiliation":"Human Language Technology Research Institute , University of Texas at Dallas , USA"},{"name":"Vincent Ng","slug":"vincent-ng","given":"Vincent","family":"Ng","affiliation":"Human Language Technology Research Institute , University of Texas at Dallas , USA"}],"abstract":"Automated essay scoring (AES), the task of automatically assigning a score to an essay that summarizes its quality, is a challenging task that remains largely unsolved despite more than 50 years of research. This survey paper discusses the milestones in AES research and reflects on future directions.","doi":"10.24963/ijcai.2024/897","url":"https://ijcai.org/proceedings/2024/897","pdf":"https://ijcai.org/proceedings/2024/0897.pdf","markdown":"https://ijcai.org/proceedings/2024/897.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/897","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Survey Track","track":"Survey Track","number":897,"pages":{"first":8114,"last":8122},"keywords":["Natural Language Processing: NLP: Applications"],"videos":[],"references":[{"position":1,"raw":"[Amorim et al., 2018] E. 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