@inproceedings{kovatchev-etal-2020-mind,
title = "{``}What is on your mind?{''} Automated Scoring of Mindreading in Childhood and Early Adolescence",
author = "Kovatchev, Venelin and
Smith, Phillip and
Lee, Mark and
Grumley Traynor, Imogen and
Luque Aguilera, Irene and
Devine, Rory",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.547",
doi = "10.18653/v1/2020.coling-main.547",
pages = "6217--6228",
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 from 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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<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 from 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.</abstract>
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%0 Conference Proceedings
%T “What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence
%A Kovatchev, Venelin
%A Smith, Phillip
%A Lee, Mark
%A Grumley Traynor, Imogen
%A Luque Aguilera, Irene
%A Devine, Rory
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F kovatchev-etal-2020-mind
%X 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 from 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.
%R 10.18653/v1/2020.coling-main.547
%U https://aclanthology.org/2020.coling-main.547
%U https://doi.org/10.18653/v1/2020.coling-main.547
%P 6217-6228
Markdown (Informal)
[“What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence](https://aclanthology.org/2020.coling-main.547) (Kovatchev et al., COLING 2020)
ACL