Work

Automated Essay Scoring: A Survey of the State of the Art

Year: 2019

Type: conference-paper

Abstract: Despite being investigated for over 50 years, the task of automated essay scoring is far from being solved. Nevertheless, it continues to draw a lot of attention in the natural language processing community in part because of its commercial and educational values as well as the associated research challenges. This paper presents an overview of the major milestones made in automated essay scoring research since its inception.

Source: International Joint Conference on Artificial Intelligence

DOI: 10.24963/ijcai.2019/879

Authors: Zixuan Ke, Vincent Ng

Institution: The University of Texas at Dallas

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Awards: RI: Small: Fast, Scalable Joint Inference for NLP using Markov Logic, EAGER: Automatic Identification of Bug Description Elements