Seunghyun Yoon
Orcid: 0000-0002-7262-3579Affiliations:
- Adobe Research, San Jose, CA, USA
- Seoul National University, South Korea (PhD 2020)
According to our database1,
Seunghyun Yoon
authored at least 56 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2024
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck.
CoRR, 2024
Understanding News Thumbnail Representativeness by Counterfactual Text-Guided Contrastive Language-Image Pretraining.
CoRR, 2024
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
MVMR: Evaluating Natural Language Video Localization Bias over Multiple Reliable Videos Pool.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image.
CoRR, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network.
IEEE Access, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
UCSD-Adobe at MEDIQA 2021: Transfer Learning and Answer Sentence Selection for Medical Summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Comparative studies on machine learning for paralinguistic signal compression and classification.
J. Supercomput., 2020
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator.
CoRR, 2020
BaitWatcher: A lightweight web interface for the detection of incongruent news headlines.
CoRR, 2020
Collaborative Training of Gans in Continuous and Discrete Spaces for Text Generation.
IEEE Access, 2020
Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Multimodal Speech Emotion Recognition Using Cross Attention with Aligned Audio and Text.
Proceedings of the Interspeech 2020, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019
Neural Networks for Compressing and Classifying Speaker-Independent Paralinguistic Signals.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
Proceedings of the 2nd Workshop on Abusive Language Online, 2018
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016
2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015