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Old Age
"What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence
November 16, 2020 ยท Declared Dead ยท ๐ International Conference on Computational Linguistics
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Authors
Venelin Kovatchev, Phillip Smith, Mark Lee, Imogen Grumley Traynor, Irene Luque Aguilera, Rory T. Devine
arXiv ID
2011.08035
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
10
Venue
International Conference on Computational Linguistics
Last Checked
4 months ago
Abstract
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.
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