2026:
Watson, L., Strathearn, C., Mitchell, K. and Yu, Y., 2026, May. Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation. In Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) (Vol. 11, No. 16, pp. 10912-10926).
Watson, L., Sobolewska, E., Strathearn, C., Morgan, M. and Yu, Y., 2026, March. Conversational AI without the Cloud: A Lightweight, Local Dialogue Pipeline for Non-commercial Social Robots. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 387-391).
Watson, L., Strathearn, C., Mitchell, K. and Yu, Y., 2026, May. PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation. In Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026) (Vol. 11, No. 16, pp. 2760-2771).
2025:
Strathearn, C., Yu, Y. and Gkatzia, D., 2025. From documents to dialogue: Context matters in common sense-enhanced task-based dialogue grounded in documents. Expert Systems with Applications, 279, p.127304.
2024:
Orme, M.A., Yu, Y. and Tan, Z., 2024, May. How much do robots understand rudeness? challenges in human-robot interaction. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 8247-8257).
2023:
Strathearn, C., Yu, Y. and Gkatzia, D., 2023. TaskMaster: A Novel Cross-platform Task-based Spoken Dialogue System for Human-Robot Interaction. Association for Computing Machinery (ACM).
Watson, L. and Gkatzia, D., 2023, September. Unveiling NLG human-evaluation reproducibility: Lessons learned and key insights from participating in the ReproNLP challenge. In Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems (pp. 69-74).
Howcroft, D.M., Lamb, W., Groundwater, A. and Gkatzia, D., 2023, September. Building a dual dataset of text-and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic). In Proceedings of the 16th International Natural Language Generation Conference (pp. 443-448).
Chandu, K.R., Howcroft, D.M., Gkatzia, D., Chung, Y.L., Hou, Y., Emezue, C.C., Rajpoot, P. and Adewumi, T., 2023, September. Lowrecorp: the low-resource nlg corpus building challenge. In Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges (pp. 1-9).
2022:
Strathearn, C. and Gkatzia, D., 2022. A Commonsense-Enhanced Document-Grounded Conversational Agent: A Case Study on Task-Based Dialogue. In A
Strathearn, C. and Gkatzia, D., 2022, May. Task2Dial: A novel task and dataset for commonsense-enhanced task-based dialogue grounded in documents. In Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering (pp. 187-196).
Howcroft, D.M. and Gkatzia, D., 2022, December. Most NLG is Low-Resource: here’s what we can do about it. In Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) (pp. 336-350).