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Seunghak Yu
Seunghak Yu
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Title
Cited by
Cited by
Year
Fine-grained analysis of propaganda in news article
G Da San Martino, Y Seunghak, A Barrón-Cedeno, R Petrov, P Nakov
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
3022019
A survey on computational propaganda detection
GDS Martino, S Cresci, A Barrón-Cedeño, S Yu, R Di Pietro, P Nakov
arXiv preprint arXiv:2007.08024, 2020
1552020
Factor graph attention
I Schwartz, S Yu, T Hazan, AG Schwing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1152019
Ensemble-based deep reinforcement learning for chatbots
H Cuayáhuitl, D Lee, S Ryu, Y Cho, S Choi, S Indurthi, S Yu, H Choi, ...
Neurocomputing 366, 118-130, 2019
772019
Prta: A system to support the analysis of propaganda techniques in the news
G Da San Martino, S Shaar, Y Zhang, S Yu, A Barrón-Cedeno, P Nakov
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
462020
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
H Cuayáhuitl, S Yu, A Williamson, J Carse
Thirtieth Annual Conference on Neural Information Processing Systems (NIPS …, 2016
462016
Supervised clustering of questions into intents for dialog system applications
I Haponchyk, A Uva, S Yu, O Uryupina, A Moschitti
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
422018
On-device neural language model based word prediction
S Yu, N Kulkarni, H Lee, J Kim
Proceedings of the 27th International Conference on Computational …, 2018
312018
Scaling up deep reinforcement learning for multi-domain dialogue systems
H Cuayahuitl, S Yu, A Williamson, J Carse
International Joint Conference on Neural Networks (IJCNN), Anchorage, Alaska …, 2017
302017
A robust peak detection method for RNA structure inference by high-throughput contact mapping
J Kim, S Yu, B Shim, H Kim, H Min, EY Chung, R Das, S Yoon
Bioinformatics 25 (9), 1137-1144, 2009
262009
Ensemble learning can significantly improve human microRNA target prediction
S Yu, J Kim, H Min, S Yoon
Methods 69 (3), 220-229, 2014
252014
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension
S Yu, SR Indurthi, S Back, H Lee
MRQA @ ACL 2018 (2018): 21., 2018
232018
MemoReader: Large-scale reading comprehension through neural memory controller
S Back, S Yu, SR Indurthi, J Kim, J Choo
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
172018
Interpretable propaganda detection in news articles
S Yu, GDS Martino, M Mohtarami, J Glass, P Nakov
arXiv preprint arXiv:2108.12802, 2021
162021
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension
S Indurthi, S Yu, S Back, H Cuayáhuitl
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
16*2018
Deep reinforcement learning of dialogue policies with less weight updates
H Cuayahuitl, S Yu
Interspeech, Stockholm, Sweden, August 2017, 2017
162017
Syllable-level Neural Language Model for Agglutinative Language
S Yu, N Kulkarni, H Lee, J Kim
SCLeM @ EMNLP 2017 (2017): 92., 2017
162017
Experiments in detecting persuasion techniques in the news
S Yu, GDS Martino, P Nakov
arXiv preprint arXiv:1911.06815, 2019
152019
Answer message recommendation method and device therefor
YU Seung-Hak, E Ko, D Kim, HJ Lee
US Patent 10,469,412, 2019
122019
Cooperative self-training of machine reading comprehension
H Luo, SW Li, M Gao, S Yu, J Glass
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
112022
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