Projects per year
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Dive into the research topics where Mark Johnson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Logistics optimisation algorithms and software
Johnson, M., Jamshid Lou, P. & Ovens , M.
5/10/20 → 5/01/21
Project: Research
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CLaS: Centre for Language Sciences (CLaS) - MQRC 2019
Demuth, K., Thornton, R., Cupples, L., Cox, F., Crain, S., Johnson, M., Leigh, G., Sharma, M., Sowman, P., Proctor, M., Wang, X., Benders, T., Giblin, I., Kim, J., Kung, C., Szakay, A., Xu Rattanasone, N. & Yuen, I.
1/01/19 → 31/12/21
Project: Research
Research Outputs
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ECOL-R: encouraging copying in novel object captioning with reinforcement learning
Wang, Y., Wood, I. D., Wan, S. & Johnson, M., 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Stroudsburg, PA: Association for Computational Linguistics (ACL), p. 1222-1234 13 p. (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile1 Downloads (Pure) -
Mention Flags (MF): constraining transformer-based text generators
Wang, Y., Wood, I. D., Wan, S., Dras, M. & Johnson, M., 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Stroudsburg, PA: Association for Computational Linguistics (ACL), p. 103-113 11 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile1 Downloads (Pure) -
End-to-end speech recognition and disfluency removal
Jamshid Lou, P. & Johnson, M., 2020, Findings of the Association for Computational Linguistics : Findings of ACL EMNLP 2020. Stroudsburg, PA: Association for Computational Linguistics (ACL), p. 2051-2061 11 p. (Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile3 Citations (Scopus)16 Downloads (Pure) -
Exemplar-based learning probably requires learning abstractions: a commentary on Ambridge (2020)
Demuth, K. & Johnson, M., 1 Oct 2020, In: First Language. 40, 5-6, p. 573-575 3 p.Research output: Contribution to journal › Article
Open AccessFile3 Citations (Scopus)2 Downloads (Pure) -
Improving disfluency detection by self-training a self-attentive model
Lou, P. J. & Johnson, M., 2020, The 58th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference. Stroudsburg, PA: Association for Computational Linguistics (ACL), p. 3754-3763 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile
Activities
- 1 Presentation
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Broad-coverage predictive parsing
Brian Roark (Speaker) & Mark Johnson (Speaker)
1999Activity: Talk or presentation › Presentation