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Results: 4
Number of items: 4
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Bražinskas, A., Lapata, M., & Titov, I. (2021). Learning Opinion Summarizers by Selecting Informative Reviews. In M.-C. Moens, X. Huang, L. Specia, & S. W. Sih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 9424-9442). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.743 -
Bražinskas, A., Lapata, M., & Titov, I. (2020). Few-shot learning for opinion summarization. In B. Webber, T. Cohn, Y. Ye, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 4119-4135). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.337 -
Bražinskas, A., Lapata, M., & Titov, I. (2020). Unsupervised opinion summarization as copycat-review generation. In D. Jurafsky, J. Chai, N. Schluter, & J. Tetreault (Eds.), The 58th Annual Meeting of the Association for Computational Linguistics: ACL 2020 : Proceedings of the Conference : July 5-10, 2020 (pp. 5151-5169). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.461 -
Bražinskas, A., Havrylov, S., & Titov, I. (2018). Embedding Words as Distributions with a Bayesian Skip-gram Model. In E. M. Bender, L. Derczynski, & P. Isabelle (Eds.), The 27th International Conference on Computational Linguistics: COLING 2018 : proceedings of the conference : August 20-26, 2018, Santa Fe, New Mexico, USA (pp. 1775-1789). Association for Computational Linguistics. https://www.aclweb.org/anthology/C18-1151/
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