no code implementations • ROCLING 2022 • Wen-Chao Yeh, Yu-Lun Hsieh, Yung-Chun Chang, Wen-Lian Hsu
This study aims to evaluate three most popular word segmentation tool for a large Traditional Chinese corpus in terms of their efficiency, resource consumption, and cost.
1 code implementation • 6 Sep 2019 • Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
This work proposes a novel algorithm to generate natural language adversarial input for text classification models, in order to investigate the robustness of these models.
no code implementations • ACL 2019 • Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
This work examines the robustness of self-attentive neural networks against adversarial input perturbations.
no code implementations • IJCNLP 2017 • Zheng-Wen Lin, Yung-Chun Chang, Chen-Ann Wang, Yu-Lun Hsieh, Wen-Lian Hsu
Sentiment lexicon is very helpful in dimensional sentiment applications.
no code implementations • IJCNLP 2017 • Yu-Lun Hsieh, Yung-Chun Chang, Yi-Jie Huang, Shu-Hao Yeh, Chun-Hung Chen, Wen-Lian Hsu
Part-of-speech (POS) tagging and named entity recognition (NER) are crucial steps in natural language processing.
no code implementations • IJCNLP 2017 • Yu-Lun Hsieh, Yung-Chun Chang, Nai-Wen Chang, Wen-Lian Hsu
In this paper, we propose a recurrent neural network model for identifying protein-protein interactions in biomedical literature.