Projects per year
Personal profile
Personal profile
Chunchuan started his research at XJTLU working on adversarial example. After he moved to Edinburgh, he has been researching on natual language processing, in particular computational semantics. During his PhD years, he has interned at Amazon and IBM. During his postdoc at Lisbon, he focused on structured prediction. Now, his main interest is unsupervised reinforcement learning. Clearly, he is a person that favors exploring new ideas.
Research interests
Structured Prediction
Natural Language Processing
Reinforcement Learning
Experience
Postdoc at Instituto Superior Técnico at Lisbon 2021-2022
Lecturer at Department of Intelligence 2023-now
Teaching
INT 201 Decision, Computation and Language
INT 202 Complexity of Algorithms
Education/Academic qualification
Bachelor, Xi'an Jiaotong-Liverpool University 2011-2015
Msc, University of Edinburgh 2015-2016
PhD, University of Edinburgh 2016-2021
Person Types
- Staff
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Projects
- 1 Active
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DeepSPIN: Deep Structured Prediction for Natural Language Processing
Martins, A. F. T., Peters, B., Zerva, C., Lyu, C., Correia, G., Treviso, M., Martins, P. & Mihaylova, T., 2022, EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. Macken, L., Rufener, A., Van den Bogaert, J., Daems, J., Tezcan, A., Vanroy, B., Fonteyne, M., Barrault, L., Costa-Jussa, M. R., Kemp, E., Pilos, S., Declercq, C., Declercq, C., Koponen, M., Forcada, M. L., Scarton, C. & Moniz, H. (eds.). European Association for Machine Translation, p. 327-328 2 p. (EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Introduction
Vlachos, A., Agrawal, P., Martins, A., Lampouras, G. & Lyu, C., 2022, In: SPNLP 2022 - 6th Workshop on Structured Prediction for NLP, Proceedings of the Workshop. p. IIResearch output: Contribution to journal › Editorial
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A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
Lyu, C., Cohen, S. B. & Titov, I., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 9075-9091 17 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
4 Citations (Scopus) -
Exploiting Large-Scale Teacher-Student Training for On-Device Acoustic Models
Liu, J., Swaminathan, R. V., Parthasarathi, S. H. K., Lyu, C., Mouchtaris, A. & Kunzmann, S., 2021, Text, Speech, and Dialogue - 24th International Conference, TSD 2021, Proceedings. Ekštein, K., Pártl, F. & Konopík, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 413-424 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12848 LNAI).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
4 Citations (Scopus) -
Capturing argument interaction in semantic role labeling with capsule networks
Chen, X., Lyu, C. & Titov, I., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 5415-5425 11 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
18 Citations (Scopus)
Activities
- 1 Completed SURF Project
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Prompting Large Language Models for Executable Code Generation
Chunchuan Lyu (Supervisor)
7 Jun 2023 → 28 Aug 2023Activity: Supervision › Completed SURF Project