Helena (Huiyuan) Xie

CBR Research Fellow

Centre for Business Research (CBR)

PhD (University of Cambridge)

My research looks at the prediction of dispute outcomes and the extraction of applicable statutes and cases in English court cases.

Cambridge Judge Business School.

My details

Contact details

[email protected]

Professional experience

Prior to joining the Centre, Helena did her PhD in the Natural Language and Information Processing Research Group at the University of Cambridge. Her PhD work focused on robust evaluation of NLG tasks, such as image captioning, sports news generation, and open-domain dialogue systems.

Previous appointments

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Selected publications

Xie, H., Liu, Z., Xiong, C., Liu, Z. and Copestake, A. (2021) “TIAGE: a benchmark for topic-shift aware dialog modeling.” In: Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 7-11 November 2021, Punta Cana, Dominican Republic.

Xie, H., Sherborne, T., Kuhnle, A. and Copestake, A. (2020) “Going beneath the surface: evaluating image captioning for grammaticality, truthfulness and diversity.” In: Evaluating Evaluation of AI Systems Workshop, Association for the Advancement of Artificial Intelligence (AAAI) Conference (34th), 7-12 February 2020, New York, NY, USA. (DOI: 10.48550/arXiv.1912.08960)

Liu, A., Liu, X., Fan, J., Ma, J., Zhang, A., Xie, H. and Tao, D. (2019) “Perceptual-sensitive GAN for generating adversarial patches.” In: Artificial intelligence for natural disasters: Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Conference (33rd), 27 January-1 February 2019, Honolulu, HI, USA.

Kuhnle, A., Xie, H. and Copestake, A. (2018) “How clever is the FiLM model, and how clever can it be?” In: Workshop on Shortcomings in Vision and Language, European Conference on Computer Vision (ECCV 2018), 8-14 September 2018, Munich, Germany.