Следене
Kevin Duh
Заглавие
Позовавания
Позовавания
Година
Representation learning using multi-task deep neural networks for semantic classification and information retrieval
X Liu, J Gao, X He, L Deng, K Duh, YY Wang
5052015
Automatic evaluation of translation quality for distant language pairs
H Isozaki, T Hirao, K Duh, K Sudoh, H Tsukada
Proceedings of the 2010 conference on empirical methods in natural language …, 2010
4612010
Compressing bert: Studying the effects of weight pruning on transfer learning
MA Gordon, K Duh, N Andrews
arXiv preprint arXiv:2002.08307, 2020
3712020
Record: Bridging the gap between human and machine commonsense reading comprehension
S Zhang, X Liu, J Liu, J Gao, K Duh, B Van Durme
arXiv preprint arXiv:1810.12885, 2018
2802018
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
2782017
Stochastic answer networks for machine reading comprehension
X Liu, Y Shen, K Duh, J Gao
arXiv preprint arXiv:1712.03556, 2017
2422017
AMR parsing as sequence-to-graph transduction
S Zhang, X Ma, K Duh, B Van Durme
arXiv preprint arXiv:1905.08704, 2019
1942019
Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. 2017. Dynet …
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 84, 2017
1842017
ESPnet-ST: All-in-one speech translation toolkit
H Inaguma, S Kiyono, K Duh, S Karita, NEY Soplin, T Hayashi, ...
arXiv preprint arXiv:2004.10234, 2020
1752020
A framework for analyzing semantic change of words across time
A Jatowt, K Duh
IEEE/ACM joint conference on digital libraries, 229-238, 2014
1652014
Overcoming catastrophic forgetting during domain adaptation of neural machine translation
B Thompson, J Gwinnup, H Khayrallah, K Duh, P Koehn
2019 Annual Conference of the North American Chapter of the Association for …, 2019
1472019
Curriculum learning for domain adaptation in neural machine translation
X Zhang, P Shapiro, G Kumar, P McNamee, M Carpuat, K Duh
arXiv preprint arXiv:1905.05816, 2019
1452019
Morphology-based language modeling for conversational Arabic speech recognition
K Kirchhoff, D Vergyri, J Bilmes, K Duh, A Stolcke
Computer Speech & Language 20 (4), 589-608, 2006
1452006
Learning to rank with partially-labeled data
K Duh, K Kirchhoff
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
1372008
Head finalization: A simple reordering rule for SOV languages
H Isozaki, K Sudoh, H Tsukada, K Duh
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010
1362010
Morphology-based language modeling for arabic speech recognition.
D Vergyri, K Kirchhoff, K Duh, A Stolcke
INTERSPEECH 4, 2245-2248, 2004
1362004
Very deep transformers for neural machine translation
X Liu, K Duh, L Liu, J Gao
arXiv preprint arXiv:2008.07772, 2020
1342020
Adaptation data selection using neural language models: Experiments in machine translation
K Duh, G Neubig, K Sudoh, H Tsukada
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
1322013
Ordinal common-sense inference
S Zhang, R Rudinger, K Duh, B Van Durme
Transactions of the Association for Computational Linguistics 5, 379-395, 2017
1302017
Membership inference attacks on sequence-to-sequence models: Is my data in your machine translation system?
S Hisamoto, M Post, K Duh
Transactions of the Association for Computational Linguistics 8, 49-63, 2020
1292020
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