| Terminology-aware medical dialogue generation C Tang, H Zhang, T Loakman, C Lin, F Guerin ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 23 | 2023 |
| Enhancing dialogue generation via dynamic graph knowledge aggregation C Tang, H Zhang, T Loakman, C Lin, F Guerin arXiv preprint arXiv:2306.16195, 2023 | 21 | 2023 |
| NGEP: A graph-based event planning framework for story generation C Tang, Z Zhang, T Loakman, C Lin, F Guerin arXiv preprint arXiv:2210.10602, 2022 | 19 | 2022 |
| Improving Chinese story generation via awareness of syntactic dependencies and semantics H Huang, C Tang, T Loakman, F Guerin, C Lin arXiv preprint arXiv:2210.10618, 2022 | 14 | 2022 |
| TwistList: Resources and Baselines for Tongue Twister Generation T Loakman, C Tang, C Lin Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 12 | 2023 |
| Cadge: Context-aware dialogue generation enhanced with graph-structured knowledge aggregation H Zhang, C Tang, T Loakman, B Yang, S Goetze, C Lin arXiv preprint arXiv:2305.06294, 2023 | 9 | 2023 |
| The iron (ic) melting pot: Reviewing human evaluation in humour, irony and sarcasm generation T Loakman, A Maladry, C Lin arXiv preprint arXiv:2311.05552, 2023 | 7 | 2023 |
| A cross-attention augmented model for event-triggered context-aware story generation C Tang, T Loakman, C Lin Computer Speech & Language 88, 101662, 2024 | 5 | 2024 |
| Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases T Loakman, C Tang, C Lin arXiv preprint arXiv:2403.13901, 2024 | 3 | 2024 |
| With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models T Loakman, Y Li, C Lin arXiv preprint arXiv:2409.14917, 2024 | | 2024 |
| MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language S Wang, G Zhang, H Wu, T Loakman, W Huang, C Lin arXiv preprint arXiv:2406.13698, 2024 | | 2024 |
| ReproHum# 0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations T Loakman, C Lin arXiv preprint arXiv:2404.17481, 2024 | | 2024 |
| shefnlp at SemEval-2023 Task 10: Compute-Efficient Category Adapters T Pickard, T Loakman, M Pandya Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | | 2023 |
Chenghua LinProfessor of Natural Language Processing, University of Manchestermanchester.ac.uk의 이메일 확인됨