Seunghak Yu

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 30

Top Topics

Reading Comprehension

Reinforcement Learning

Supervised Clustering

Top Venues

Publications

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)
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)
Siwon Kim, Jinoh Oh, Sungjin Lee, Seunghak Yu, Jaeyoung Do, Tara Taghavi
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space. CVPR (2023)
Hongyin Luo, Shang-Wen Li, Mingye Gao, Seunghak Yu, James R. Glass
Cooperative Self-training of Machine Reading Comprehension. NAACL-HLT (2022)
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov
Interpretable Propaganda Detection in News Articles. RANLP (2021)
Hongyin Luo, Shang-Wen Li, Seunghak Yu, James R. Glass
Cooperative Learning of Zero-Shot Machine Reading Comprehension. CoRR (2021)
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov
Interpretable Propaganda Detection in News Articles. CoRR (2021)
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 (2020)
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
A Survey on Computational Propaganda Detection. CoRR (2020)
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)
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
A Survey on Computational Propaganda Detection. IJCAI (2020)
Seunghak Yu, Tianxing He, James R. Glass
Constructing a Knowledge Graph from Unstructured Documents without External Alignment. CoRR (2020)
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)
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
Factor Graph Attention. CVPR (2019)
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 (2019)
Seunghak Yu, Giovanni Da San Martino, Preslav Nakov
Experiments in Detecting Persuasion Techniques in the News. CoRR (2019)
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
Factor Graph Attention. CoRR (2019)
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 (2019)
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov
Fine-Grained Analysis of Propaganda in News Articles. CoRR (2019)
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
On-Device Neural Language Model Based Word Prediction. COLING (Demos) (2018)
Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. EMNLP (2018)
Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina, Alessandro Moschitti
Supervised Clustering of Questions into Intents for Dialog System Applications. EMNLP (2018)
Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back, Heriberto Cuayáhuitl
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. EMNLP (2018)
Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back, Haejun Lee
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension. QA@ACL (2018)
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
Syllable-level Neural Language Model for Agglutinative Language. SWCN@EMNLP (2017)
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
Syllable-level Neural Language Model for Agglutinative Language. CoRR (2017)
Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse
Scaling up deep reinforcement learning for multi-domain dialogue systems. IJCNN (2017)
Heriberto Cuayáhuitl, Seunghak Yu
Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates. INTERSPEECH (2017)
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
An Embedded Deep Learning based Word Prediction. CoRR (2017)
Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse
Deep Reinforcement Learning for Multi-Domain Dialogue Systems. CoRR (2016)
Seunghak Yu, Juho Kim, Hyeyoung Min, Sungroh Yoon
Ensemble learning for robust prediction of microRNA-mRNA interactions. BigComp (2014)
Juho Kim, Seunghak Yu, Sungroh Yoon
Ensemble algorithms for DNA motif finding. ICEIC (2014)
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) (2014)
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) (2009)