Seunghak Yu

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Preslav NakovMBZUAIVerified email at mbzuai.ac.ae
Giovanni Da San MartinoAssociate Professor, Department of Mathematics, University of Padova, ItalyVerified email at math.unipd.it
Alberto Barrón-CedeñoUniversità di BolognaVerified email at unibo.it
Heriberto CuayáhuitlUniversity of Lincoln, School of Computer Science, UKVerified email at lincoln.ac.uk
Sungroh YoonProfessor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National UniversityVerified email at snu.ac.kr
Seohyun BackSamsung Research AI Center & KAISTVerified email at samsung.com
Nilesh KulkarniUniversity of MichiganVerified email at umich.edu
James GlassMIT Computer Science and Artificial Intelligence LaboratoryVerified email at mit.edu
Roberto Di PietroIEEE Fellow; ACM Distinguished Scientist; Full Professor of Cybersecurity, KAUSTVerified email at kaust.edu.sa
Stefano CresciIIT-CNR, ItalyVerified email at iit.cnr.it
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Alessandro MoschittiPrincipal Scientist at Amazon AlexaVerified email at amazon.com
Rhiju DasAssociate Professor of Biochemistry & Physics, Stanford UniversityVerified email at stanford.edu
Hanjoo KimGauss Labs Inc.Verified email at gausslabs.ai
Jinkyu KimUC BerkeleyVerified email at berkeley.edu
Tianxing HeUniversity of WashingtonVerified email at cs.washington.edu
Jaegul ChooAssociate Professor, Graduate School of Artificial Intelligence, KAISTVerified email at kaist.ac.kr
Hongyin LuoMIT CSAILVerified email at mit.edu
Taehoon LeeProject Leader @ Future R&D, SK TelecomVerified email at taehoonlee.com
Hyuk-Jun LeeSogang UniversityVerified email at sogang.ac.kr

Seunghak Yu

NAVER Search US

Verified email at mit.edu - Homepage

artificial intelligence machine learning natural language processing


Title Sort by citations Sort by year Sort by 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	228	2019
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	111	2020
Factor graph attention I Schwartz, S Yu, T Hazan, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	101	2019
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	65	2019
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	44	2016
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	36	2020
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	34	2018
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	28	2017
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	27	2018
Ensemble learning can significantly improve human microRNA target prediction S Yu, J Kim, H Min, S Yoon Methods 69 (3), 220-229, 2014	26	2014
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	26	2009
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	22	2018
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	16	2018
Deep reinforcement learning of dialogue policies with less weight updates H Cuayahuitl, S Yu Interspeech, Stockholm, Sweden, August 2017, 2017	15	2017
Syllable-level Neural Language Model for Agglutinative Language S Yu, N Kulkarni, H Lee, J Kim SCLeM @ EMNLP 2017 (2017): 92., 2017	14	2017
Experiments in detecting persuasion techniques in the news S Yu, GDS Martino, P Nakov arXiv preprint arXiv:1911.06815, 2019	13	2019
Answer message recommendation method and device therefor YU Seung-Hak, E Ko, D Kim, HJ Lee US Patent 10,469,412, 2019	12	2019
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	11	2021
Autokg: Constructing virtual knowledge graphs from unstructured documents for question answering S Yu, T He, J Glass arXiv preprint arXiv:2008.08995, 2020	7*	2020

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