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Chunchuan Lyu

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus
20132023

Research activity 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

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Collaborations and top research areas from the last five years

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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 proceedingConference Proceedingpeer-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 proceedingConference Proceedingpeer-review

    Open Access
    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 proceedingConference Proceedingpeer-review

    18 Citations (Scopus)
  • Semantic role labeling with iterative structure refinement

    Lyu, C., Cohen, S. B. & 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. 1071-1082 12 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 proceedingConference Proceedingpeer-review

    21 Citations (Scopus)
  • AMR parsing as graph prediction with latent alignment

    Lyu, C. & Titov, I., 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 397-407 11 p. (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

    Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

    Open Access
    96 Citations (Scopus)