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2020 – today
- 2023
[c19]Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon:
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. ACL (1) 2023: 12573-12589- [c18]Siwon Kim, Jinoh Oh, Sungjin Lee, Seunghak Yu, Jaeyoung Do, Tara Taghavi:
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space. CVPR 2023: 10942-10950 - [c17]Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi:
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. ICCV 2023: 21813-21824 - 2022
- [c16]Hongyin Luo, Shang-Wen Li, Mingye Gao, Seunghak Yu, James R. Glass:
Cooperative Self-training of Machine Reading Comprehension. NAACL-HLT 2022: 244-257 - 2021
- [c15]Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. RANLP 2021: 1597-1605 - [i12]Hongyin Luo, Shang-Wen Li, Seunghak Yu, James R. Glass:
Cooperative Learning of Zero-Shot Machine Reading Comprehension. CoRR abs/2103.07449 (2021) - [i11]Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. CoRR abs/2108.12802 (2021) - 2020
- [c14]Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. ACL (demo) 2020: 287-293 - [c13]Giovanni Da San Martino, Stefano Cresci
, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. IJCAI 2020: 4826-4832 - [i10]Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. CoRR abs/2005.05854 (2020) - [i9]Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. CoRR abs/2007.08024 (2020) - [i8]Seunghak Yu, Tianxing He, James R. Glass:
Constructing a Knowledge Graph from Unstructured Documents without External Alignment. CoRR abs/2008.08995 (2020)
2010 – 2019
- 2019
- [j3]Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim:
Ensemble-based deep reinforcement learning for chatbots. Neurocomputing 366: 118-130 (2019) - [c12]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CVPR 2019: 2039-2048 - [c11]Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov:
Fine-Grained Analysis of Propaganda in News Article. EMNLP/IJCNLP (1) 2019: 5635-5645 - [i7]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CoRR abs/1904.05880 (2019) - [i6]Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim:
Ensemble-Based Deep Reinforcement Learning for Chatbots. CoRR abs/1908.10422 (2019) - [i5]Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov:
Fine-Grained Analysis of Propaganda in News Articles. CoRR abs/1910.02517 (2019) - [i4]Seunghak Yu, Giovanni Da San Martino, Preslav Nakov:
Experiments in Detecting Persuasion Techniques in the News. CoRR abs/1911.06815 (2019) - 2018
- [c10]Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back, Haejun Lee:
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension. QA@ACL 2018: 21-30 - [c9]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
On-Device Neural Language Model Based Word Prediction. COLING (Demos) 2018: 128-131 - [c8]Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back, Heriberto Cuayáhuitl:
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. EMNLP 2018: 570-575 - [c7]Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo:
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. EMNLP 2018: 2131-2140 - [c6]Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina, Alessandro Moschitti:
Supervised Clustering of Questions into Intents for Dialog System Applications. EMNLP 2018: 2310-2321 - 2017
- [c5]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
Syllable-level Neural Language Model for Agglutinative Language. SWCN@EMNLP 2017: 92-96 - [c4]Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse:
Scaling up deep reinforcement learning for multi-domain dialogue systems. IJCNN 2017: 3339-3346 - [c3]Heriberto Cuayáhuitl, Seunghak Yu:
Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates. INTERSPEECH 2017: 2511-2515 - [i3]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
An Embedded Deep Learning based Word Prediction. CoRR abs/1707.01662 (2017) - [i2]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
Syllable-level Neural Language Model for Agglutinative Language. CoRR abs/1708.05515 (2017) - 2016
- [i1]Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse:
Deep Reinforcement Learning for Multi-Domain Dialogue Systems. CoRR abs/1611.08675 (2016) - 2014
- [j2]Seunghak Yu, Sungroh Yoon, Eui-Young Chung, Hyuk-Jun Lee:
Design of a bitmap-based QoS-aware memory controller for a packet memory. IEICE Electron. Express 11(5): 20130983 (2014) - [c2]Seunghak Yu, Juho Kim, Hyeyoung Min, Sungroh Yoon:
Ensemble learning for robust prediction of microRNA-mRNA interactions. BigComp 2014: 45-46 - [c1]Juho Kim, Seunghak Yu, Sungroh Yoon:
Ensemble algorithms for DNA motif finding. ICEIC 2014: 1-2
2000 – 2009
- 2009
- [j1]Jinkyu Kim, Seunghak Yu, Byonghyo Shim, Hanjoo Kim, Hyeyoung Min, Eui-Young Chung, Rhiju Das, Sungroh Yoon:
A robust peak detection method for RNA structure inference by high-throughput contact mapping. Bioinform. 25(9): 1137-1144 (2009)
Coauthor Index
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