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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, S Yu, A Barrón-Cedeno, R Petrov, P Nakov
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
2082019
Factor graph attention
I Schwartz, S Yu, T Hazan, AG Schwing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
962019
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
922020
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
552019
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
422016
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
352020
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
302018
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
272017
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
252018
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 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
252009
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
202018
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
162018
Deep reinforcement learning of dialogue policies with less weight updates
H Cuayahuitl, S Yu
Interspeech, Stockholm, Sweden, August 2017, 2017
152017
Syllable-level Neural Language Model for Agglutinative Language
S Yu, N Kulkarni, H Lee, J Kim
SCLeM @ EMNLP 2017 (2017): 92., 2017
142017
Experiments in detecting persuasion techniques in the news
S Yu, GDS Martino, P Nakov
arXiv preprint arXiv:1911.06815, 2019
122019
Answer message recommendation method and device therefor
YU Seung-Hak, E Ko, D Kim, HJ Lee
US Patent 10,469,412, 2019
122019
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
12*2018
Interpretable propaganda detection in news articles
S Yu, GDS Martino, M Mohtarami, J Glass, P Nakov
arXiv preprint arXiv:2108.12802, 2021
62021
Autokg: Constructing virtual knowledge graphs from unstructured documents for question answering
S Yu, T He, J Glass
arXiv preprint arXiv:2008.08995, 2020
6*2020
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