Why self-attention? a targeted evaluation of neural machine translation architectures G Tang, M Müller, A Rios, R Sennrich arXiv preprint arXiv:1808.08946, 2018 | 329 | 2018 |
An analysis of attention mechanisms: The case of word sense disambiguation in neural machine translation G Tang, R Sennrich, J Nivre arXiv preprint arXiv:1810.07595, 2018 | 92 | 2018 |
An evaluation of neural machine translation models on historical spelling normalization G Tang, F Cap, E Pettersson, J Nivre arXiv preprint arXiv:1806.05210, 2018 | 50 | 2018 |
Encoders help you disambiguate word senses in neural machine translation G Tang, R Sennrich, J Nivre arXiv preprint arXiv:1908.11771, 2019 | 27 | 2019 |
The Helsinki Neural Machine Translation System R Östling, Y Scherrer, J Tiedemann, G Tang, T Nieminen Proceedings of the Second Conference on Machine Translation, 338--347, 2017 | 21 | 2017 |
An unsupervised word sense disambiguation method based on sememe vector in HowNet G Tang, D Yu, E Xun J. Chin. Inf. Process 29 (6), 23-29, 2015 | 18* | 2015 |
Understanding neural machine translation by simplification: The case of encoder-free models G Tang, R Sennrich, J Nivre arXiv preprint arXiv:1907.08158, 2019 | 16 | 2019 |
Revisiting negation in neural machine translation G Tang, P Rönchen, R Sennrich, J Nivre Transactions of the Association for Computational Linguistics 9, 740-755, 2021 | 12 | 2021 |
Why self-attention? A targeted evaluation of neural machine translation architectures. arXiv 2018 G Tang, M Müller, A Rios, R Sennrich arXiv preprint arXiv:1808.08946, 0 | 10 | |
Understanding pure Character-Based neural machine translation: The case of translating finnish into english G Tang, R Sennrich, J Nivre arXiv preprint arXiv:2011.03469, 2020 | 9 | 2020 |
Can we neglect function words in word embedding? G Tang, G Rao, D Yu, E Xun Natural Language Understanding and Intelligent Applications: 5th CCF …, 2016 | 6 | 2016 |
Proc. Conf. Empirical Methods Natural Lang. Process. G Tang, M Müller, A Rios, R Sennrich Proc. Conf. Empirical Methods Natural Lang. Process, 4263-4272, 2018 | 5 | 2018 |
A hybrid re-ranking method for entity recognition and linking in search queries G Tang, Y Guo, D Yu, E Xun Natural Language Processing and Chinese Computing: 4th CCF Conference, NLPCC …, 2015 | 4 | 2015 |
Why self-attention G Tang, M Müller, A Rios, R Sennrich A targeted evaluation of neural machine translation architectures. CoRR, abs, 1808 | 4 | 1808 |
复杂科技术语构词中的语素化 于东, 饶高琦, 唐共波, 荀恩东 中国科技术语 17 (2), 15, 2015 | 3 | 2015 |
Parallel data helps neural entity coreference resolution G Tang, C Hardmeier arXiv preprint arXiv:2305.17709, 2023 | 2 | 2023 |
Understanding Neural Machine Translation: An investigation into linguistic phenomena and attention mechanisms G Tang Acta Universitatis Upsaliensis, 2020 | 2 | 2020 |
An Introduction to BLCU Personal Attributes Extraction System D Yu, C Yu, Q Qu, G Tang, C Liu, Y Tian, J Yi Proceedings of the Third CIPS-SIGHAN Joint Conference on Chinese Language …, 2014 | 1 | 2014 |
Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning O Yousuf, G Tang, Z Jin IEEE Access, 2024 | | 2024 |
Mention Attention for Pronoun Translation G Tang, C Hardmeier Proceedings of the 2023 International Joint Conference on Robotics and …, 2023 | | 2023 |