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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 34 1 Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models ... Tseng, Liang-Hsuan; Fu, Yu-Kuan; Chang, Heng-Jui. - : arXiv, 2021 BASE Show details 2 Improving Cross-Lingual Reading Comprehension with Self-Training ... Huang, Wei-Cheng; Huang, Chien-yu; Lee, Hung-yi. - : arXiv, 2021 BASE Show details 3 Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chang, Chih-Chiang; Chuang, Yung-Sung. - : Underline Science Inc., 2021 BASE Show details 4 S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations ... Lin, Jheng-hao; Lin, Yist Y.; Chien, Chung-Ming. - : arXiv, 2021 BASE Show details 5 Mitigating Biases in Toxic Language Detection through Invariant Rationalization ... Chuang, Yung-Sung; Gao, Mingye; Luo, Hongyin; Glass, James; Lee, Hung-yi; Chen, Yun-Nung; Li, Shang-Wen. - : arXiv, 2021 Abstract: Automatic detection of toxic language plays an essential role in protecting social media users, especially minority groups, from verbal abuse. However, biases toward some attributes, including gender, race, and dialect, exist in most training datasets for toxicity detection. The biases make the learned models unfair and can even exacerbate the marginalization of people. Considering that current debiasing methods for general natural language understanding tasks cannot effectively mitigate the biases in the toxicity detectors, we propose to use invariant rationalization (InvRat), a game-theoretic framework consisting of a rationale generator and a predictor, to rule out the spurious correlation of certain syntactic patterns (e.g., identity mentions, dialect) to toxicity labels. We empirically show that our method yields lower false positive rate in both lexical and dialectal attributes than previous debiasing methods. ... : The 5th Workshop on Online Abuse and Harms at ACL 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2106.07240 https://dx.doi.org/10.48550/arxiv.2106.07240 BASE Hide details 6 Mitigating Biases in Toxic Language Detection through Invariant Rationalization ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Yun-Nung; Chuang, Yung-Sung. - : Underline Science Inc., 2021 BASE Show details 7 Looking for Clues of Language in Multilingual BERT to Improve Cross-lingual Generalization ... Liu, Chi-Liang; Hsu, Tsung-Yuan; Chuang, Yung-Sung. - : arXiv, 2020 BASE Show details 8 DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation ... Chen, Yi-Chen; Hsu, Jui-Yang; Lee, Cheng-Kuang. - : arXiv, 2020 BASE Show details 9 What makes multilingual BERT multilingual? ... Liu, Chi-Liang; Hsu, Tsung-Yuan; Chuang, Yung-Sung. - : arXiv, 2020 BASE Show details 10 A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT ... Liu, Chi-Liang; Hsu, Tsung-Yuan; Chuang, Yung-Sung. - : arXiv, 2020 BASE Show details 11 Pretrained Language Model Embryology: The Birth of ALBERT ... Chiang, Cheng-Han; Huang, Sung-Feng; Lee, Hung-yi. - : arXiv, 2020 BASE Show details 12 AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization ... Chen, Yen-Hao; Wu, Da-Yi; Wu, Tsung-Han. - : arXiv, 2020 BASE Show details 13 VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture ... Wu, Da-Yi; Chen, Yen-Hao; Lee, Hung-Yi. - : arXiv, 2020 BASE Show details 14 Defending Your Voice: Adversarial Attack on Voice Conversion ... Huang, Chien-yu; Lin, Yist Y.; Lee, Hung-yi. - : arXiv, 2020 BASE Show details 15 FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention ... Lin, Yist Y.; Chien, Chung-Ming; Lin, Jheng-Hao. - : arXiv, 2020 BASE Show details 16 Training a code-switching language model with monolingual data ... Chuang, Shun-Po; Sung, Tzu-Wei; Lee, Hung-Yi. - : arXiv, 2019 BASE Show details 17 Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model ... Hsu, Tsung-yuan; Liu, Chi-liang; Lee, Hung-yi. - : arXiv, 2019 BASE Show details 18 Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning ... Liu, Alexander H.; Tu, Tao; Lee, Hung-yi. - : arXiv, 2019 BASE Show details 19 From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings ... Chen, Yi-Chen; Huang, Sung-Feng; Lee, Hung-yi. - : arXiv, 2019 BASE Show details 20 Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering ... Yang, Gene-Ping; Tuan, Chao-I; Lee, Hung-Yi. - : arXiv, 2019 BASE Show details Page: 1 2

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