Seunghak Yu

According to our database1, Seunghak Yu authored at least 28 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Cooperative Self-training of Machine Reading Comprehension.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Cooperative Learning of Zero-Shot Machine Reading Comprehension.
CoRR, 2021

Interpretable Propaganda Detection in News Articles.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020
Constructing a Knowledge Graph from Unstructured Documents without External Alignment.
CoRR, 2020

A Survey on Computational Propaganda Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Prta: A System to Support the Analysis of Propaganda Techniques in the News.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
Ensemble-based deep reinforcement learning for chatbots.
Neurocomputing, 2019

Experiments in Detecting Persuasion Techniques in the News.
CoRR, 2019

Fine-Grained Analysis of Propaganda in News Articles.
CoRR, 2019

Fine-Grained Analysis of Propaganda in News Article.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Factor Graph Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Supervised Clustering of Questions into Intents for Dialog System Applications.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

On-Device Neural Language Model Based Word Prediction.
Proceedings of the COLING 2018, 2018

A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017
An Embedded Deep Learning based Word Prediction.
CoRR, 2017

Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates.
Proceedings of the Interspeech 2017, 2017

Scaling up deep reinforcement learning for multi-domain dialogue systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Syllable-level Neural Language Model for Agglutinative Language.
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

2016
Deep Reinforcement Learning for Multi-Domain Dialogue Systems.
CoRR, 2016

2014
Design of a bitmap-based QoS-aware memory controller for a packet memory.
IEICE Electron. Express, 2014

Ensemble algorithms for DNA motif finding.
Proceedings of the International Conference on Electronics, Information and Communications, 2014

Ensemble learning for robust prediction of microRNA-mRNA interactions.
Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014

2009
A robust peak detection method for RNA structure inference by high-throughput contact mapping.
Bioinform., 2009


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