YunSeok Choi

Orcid: 0000-0002-9971-1501

According to our database1, YunSeok Choi authored at least 16 papers between 2016 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization.
IEEE Access, 2023

LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DIP: Dead code Insertion based Black-box Attack for Programming Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
IA-BERT: context-aware sarcasm detection by incorporating incongruity attention layer for feature extraction.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
An embedding method for unseen words considering contextual information and morphological information.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Learning Sequential and Structural Information for Source Code Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Neural attention model with keyword memory for abstractive document summarization.
Concurr. Comput. Pract. Exp., 2020

Attention history-based attention for abstractive text summarization.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Source Code Summarization Using Attention-Based Keyword Memory Networks.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2018
Detection of document modification based on deep neural networks.
J. Ambient Intell. Humaniz. Comput., 2018

Abstractive summarization by neural attention model with document content memory.
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018

2016
Recurrent Neural Network for Storytelling.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Detection of Content Changes Based on Deep Neural Networks.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016


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