Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics
Reference66 articles.
1. Akın, A. A., & Akın, M. D. (2007). Zemberek, an open source NLP framework for Turkic languages. Structure, 10, 1–5.
2. Anand, D., & Wagh, R. (2019). Effective deep learning approaches for summarization of legal texts. Journal of King Saud University-Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2019.11.015
3. Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. In: Proceedings of the international conference on learning representations (ICLR), 2015.
4. Beke, A., & Szaszák, G. (2016). Automatic summarization of highly spontaneous speech. In: Speech and Computer—18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings, volume 9811 of Lecture Notes in Computer Science, pp. 140–147. Springer.
5. Bostrom, K., & Durrett, G. (2020). Byte pair encoding is suboptimal for language model pretraining. In: Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, pp. 4617–4624, Online, Association for Computational Linguistics.
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