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Results: 8
Number of items: 8
  • Open Access
    Stap, D., Hasler, E., Byrne, B., Monz, C., & Tran, K. (2024). The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (Vol. 1, pp. 6189-6206). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.336
  • Open Access
    Tran, K., Bisazza, A., & Monz, C. (2018). The Importance of Being Recurrent for Modeling Hierarchical Structure. In E. Riloff, D. Chiang, J. Hockenmaier, & J. Tsujii (Eds.), Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing : EMNLP 2018: Brussels, Belgium, Oct. 31-Nov. 4 (pp. 4731–4736). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D18-1503
  • Open Access
    Tran, K. (2018). Predicting and discovering linguistic structure with neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Tran, K., Bisk, Y., Vaswani, A., Marcu, D., & Knight, K. (2016). Unsupervised Neural Hidden Markov Models. In K.-W. Chang, M.-W. Chang, A. Rush, & V. Srikumar (Eds.), EMNLP 2016 : Conference on Empirical Methods in Natural Language Processing : proceedings of the Workshop on Structured Prediction for Natural Language Processing: November 5, 2016, Austin, Texas, USA (pp. 63-71). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W16-5907
  • Open Access
    Toutanova, K., Brockett, C., Tran, K. M., & Amershi, S. (2016). A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. In J. Su, K. Duh, & X. Carreras (Eds.), EMNLP 2016 : Conference on Empirical Methods in Natural Language Processing: November 1-5, 2016 Austin, Texas, USA : conference proceedings (pp. 340-350). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D16-1033
  • Open Access
    Tran, K., Bisazza, A., & Monz, C. (2016). Recurrent Memory Networks for Language Modeling. In K. Knight, A. Nenkova, & O. Rambow (Eds.), NAACL HLT 2016 : The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : June 12-17, 2016, San Diego, California, USA (pp. 321-331). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N16-1036
  • Open Access
    Tran, K., Bisazza, A., & Monz, C. (2015). A Distributed Inflection Model for Translating into Morphologically Rich Languages. In Y. Al-Onaizan, & W. Lewis (Eds.), Proceedings of MT Summit XV. - Vol. 1: MT Researchers' Track: MT Summit XV : October 30-November 3, 2015, Miami, FL, USA (pp. 145-159). Association for Machine Translation in the Americas. http://www.mt-archive.info/15/MTS-2015-Tran.pdf
  • Open Access
    Tran, K., Bisazza, A., & Monz, C. (2014). Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks. In A. Moschitti, B. Pang, & W. Daelemans (Eds.), EMNLP 2014: the 2014 Conference on Empirical Methods in Natural Language Processing: proceedings of the conference: October 25-29, 2014, Doha, Qatar (pp. 1676-1688). Association for Computational Linguistics. http://www.aclweb.org/anthology/D/D14/D14-1175.pdf
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