In this paper we present the first work on the automated scoring of mindreading ability in middle childhood and early adolescence. We create MIND-CA, a new corpus of 11,311 question-answer pairs in English from 1,066 children aged 7 to 14. We perform machine learning experiments and carry out extensive quantitative and qualitative evaluation. We obtain promising results, demonstrating the applicability of state-of-the-art NLP solutions to a new domain and task.
CITATION STYLE
Kovatchev, V., Smith, P., Lee, M., Traynor, I. G., Aguilera, I. L., & Devine, R. T. (2020). “What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence. In COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference (pp. 6217–6228). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.coling-main.547
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