Recent publications
Article
Devine, R, Byrne, I & Kovatchev, V 2025, 'Mentalizing difficulties are transdiagnostic and explain links between mental health and neurodevelopmental symptoms and social adjustment in school‐aged children', JCPP Advances. https://doi.org/10.1002/jcv2.70034
Abbas, A, Lee, M, Shanavas, N & Kovatchev, V 2024, 'Clinical concept annotation with contextual word embedding in active transfer learning environment', Digital Health , vol. 10, pp. 1-31. https://doi.org/10.1177/20552076241308987
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 article
Bakiyev, B, Kovatchev, V & Ali, M 2025, 'PAN-KK: A Language Resource for Plagiarism Detection in Low-Resource Kazakh', Procedia Computer Science.
Conference contribution
Abbas, A, Kovatchev, V, Lee, M, Shanavas, N & Ali, M 2025, Harnessing Open-Source LLMs for Tender Named Entity Recognition. in Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing. International conference Recent advances in natural language processing, Incoma Ltd, International Conference Recent Advances in Natural Language Processing 2025, Varna, Bulgaria, 8/09/25.
Abbas, A, Lee, M, Kovatchev, V & Shanavas, N 2025, MTNER: Multiple Tender Named Entities Recognition and Classification from unstructured tender documents. in Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication. IEEE Press / Wiley, 19th International Conference on Ubiquitous Information Management and Communication, Bangkok, Thailand, 3/01/25.
Ftouhi, F, Dsouza, R, Gamboa, LC, Liu, J, Abbas, A, Feng, Y, Ali, M, Lee, M & Kovatchev, V 2025, OldJoe at AVeriTeC: In-context learning for fact-checking. in The Eighth FEVER Workshop at The 63rd Annual Meeting of the Association for Computational Linguistics. 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 27/07/25.
Kovatchev, V & Dsouza, R 2025, Sources of Disagreement in Data for LLM Instruction Tuning. in CoMeDi: Context and Meaning - Navigating Disagreements in NLP Annotations. CoMeDi, Abu Dhabi, United Arab Emirates, 19/01/25.
Kovatchev, V & Lease, M 2024, Benchmark Transparency: Measuring the Impact of Data on Evaluation. in K Duh, H Gomez & S Bethard (eds), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, ACL, pp. 1536–1551, 2024 Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2024, Mexico City, Mexico, 16/06/24. https://doi.org/10.18653/v1/2024.naacl-long.86
Abbas, A, Lee, M, Shanavas, N, Kovatchev, V & Ali, M 2024, Structured Tender Entities Extraction from Complex Tables with Few-short Learning. in COLING 2025 Proceedings of the Workshop on Regulatory Natural Language Processing (REGNLP 2025) . Association for Computational Linguistics, ACL, Regulatory Natural Language Processing Workshop (RegNLP) 2025, Abu Dhabi, United Arab Emirates, 20/01/25.
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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