| Bridging towers of multi-task learning with a gating mechanism for aspect-based sentiment analysis and sequential metaphor identification R Mao, X Li Proceedings of the AAAI conference on artificial intelligence 35 (15), 13534 …, 2021 | 106 | 2021 |
| MetaPro: A computational metaphor processing model for text pre-processing R Mao, X Li, M Ge, E Cambria Information Fusion 86, 30-43, 2022 | 87 | 2022 |
| A dual-attention hierarchical recurrent neural network for dialogue act classification R Li, C Lin, M Collinson, X Li, G Chen arXiv preprint arXiv:1810.09154, 2018 | 77 | 2018 |
| Latent space factorisation and manipulation via matrix subspace projection X Li, C Lin, R Li, C Wang, F Guerin International conference on machine learning, 5916-5926, 2020 | 45 | 2020 |
| MetaPro Online:: A computational metaphor processing online system R Mao, X Li, H Kai, M Ge, E Cambria Proceedings of the 61st annual meeting of the association for computational …, 2023 | 43 | 2023 |
| A stable variational autoencoder for text modelling R Li, X Li, C Lin, M Collinson, R Mao arXiv preprint arXiv:1911.05343, 2019 | 39 | 2019 |
| DGST: A Dual-generator Network for Text Style Transfer X Li, G Chen, C Lin, R Li Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 32 | 2020 |
| Improving variational autoencoder for text modelling with timestep-wise regularisation R Li, X Li, G Chen, C Lin arXiv preprint arXiv:2011.01136, 2020 | 25 | 2020 |
| Investigating the content and form of referring expressions in Mandarin: introducing the Mtuna corpus K Van Deemter, L Sun, R Sybesma, X Li, B Chen, M Yang Proceedings of the 10th International Conference on Natural Language …, 2017 | 9 | 2017 |
| Statistics-based lexical choice for NLG from quantitative information X Li, K van Deemter, C Lin Proceedings of the 9th International Natural Language Generation conference …, 2016 | 7 | 2016 |
| Statistical NLG for generating the content and form of referring expressions X Li, KJ Van Deemter, C Lin Proceedings of the 11th International Conference on Natural Language Generation, 2018 | 4 | 2018 |
| Improving ultrasound image classification with local texture quantisation X Li, H Liang, S Nagala, J Chen ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds E Mao, Rui and Chen, Guanyi and Li, Xiao and Ge, Mengshi and Cambria Cognitive Computation, 2024 | 2* | 2024 |
| Health claims unpacked: a toolkit to enhance the communication of health claims for food X Li, H Liang, Z Liu Proceedings of the 30th ACM International Conference on Information …, 2021 | 2 | 2021 |
| A fully statistical approach to natural language generation X Li University of Aberdeen, 2019 | 1 | 2019 |
| Guest Editorial: Cognitive Analysis for Humans and AI R Mao, Q Liu, X Li, E Cambria, A Hussain Cognitive Computation 16 (6), 3316-3318, 2024 | | 2024 |
| Attractiveness analysis for health claims on food packages X Li, H Liang, C Ryder, R Jones, Z Liu Australasian Conference on Data Mining, 217-232, 2022 | | 2022 |
| A Text Reassembling Approach to Natural Language Generation X Li, K van Deemter, C Lin arXiv preprint arXiv:2005.07988, 2020 | | 2020 |
| Expressing Quantities in Words: Towards a Computational Model X Li, K van Deemter, C Lin | | 2015 |
| MetaPro Online: A Computational Metaphor Processing Online System | | |
Chenghua LinProfessor of Natural Language Processing, University of ManchesterVahvistettu sähköpostiosoite verkkotunnuksessa manchester.ac.uk