Year: 2017
Type: conference-paper
Abstract: This study provides a detailed analysis of evaluation of English pronoun reference questions which are created automatically by machine.Pronoun reference questions are multiple choice questions that ask test takers to choose an antecedent of a target pronoun in a reading passage from four options.The evaluation was performed from two perspectives: the perspective of English teachers and that of English learners.Item analysis suggests that machinegenerated questions achieve comparable quality with human-made questions.Correlation analysis revealed a strong correlation between the scores of machinegenerated questions and that of humanmade questions.
DOI: 10.18653/v1/w17-5008
Authors: Arief Yudha Satria, Takenobu Tokunaga
Institution: Tokyo Institute of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W2756495812
