Dr Venelin Kovatchev

School of Computer Science
Assistant Professor

Contact details

Address
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Publications

Recent publications

Article

Devine, RT, Kovatchev, V, Grumley Traynor, I, Smith, P & Lee, M 2023, 'Machine learning and deep learning systems for automated measurement of ‘advanced’ theory of mind: reliability and validity in children and adolescents', Psychological Assessment, vol. 35, no. 2, pp. 165-177. https://doi.org/10.1037/pas0001186

Chapter (peer-reviewed)

Kovatchev, V, Smith, P, Lee, M, Grumley Traynor, I, Luque Aguilera, I & Devine, RT 2020, “What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence. in D Scott, N Bel & C Zong (eds), Proceedings of the 28th International Conference on Computational Linguistics. Proceedings of the International Conference on Computational Linguistics, International Committee on Computational Linguistics, Barcelona, Spain, pp. 6217, International Conference on Computational Linguistics , Barcelona, Spain, 8/12/20. https://doi.org/10.18653/v1/2020.coling-main.547

Conference contribution

Kovatchev, V, Smith, P, Lee, M & Devine, R 2021, Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability. in C Zong, F Xia, W Li & R Navigli (eds), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). vol. 1, International Joint Conference on Natural Language Processing (IJCNLP), Association for Computational Linguistics, ACL, pp. 1196-1206, Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, Virtual, Online, 1/08/21. https://doi.org/10.18653/v1/2021.acl-long.96

Preprint

Kovatchev, V, Smith, P, Lee, M & Devine, R 2021 'Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability' arXiv, pp. 1-11. <https://arxiv.org/abs/2106.01635v1>

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