no code implementations • ROCLING 2021 • Cheng-Chung Fan, Chia-Chih Kuo, Shang-Bao Luo, Pei-Jun Liao, Kuang-Yu Chang, Chiao-Wei Hsu, Meng-Tse Wu, Shih-Hong Tsai, Tzu-Man Wu, Aleksandra Smolka, Chao-Chun Liang, Hsin-Min Wang, Kuan-Yu Chen, Yu Tsao, Keh-Yih Su
Only a few of them adopt several answer generation modules for providing different mechanisms; however, they either lack an aggregation mechanism to merge the answers from various modules, or are too complicated to be implemented with neural networks.
no code implementations • ROCLING 2022 • Shang-Bao Luo, Cheng-Chung Fan, Kuan-Yu Chen, Yu Tsao, Hsin-Min Wang, Keh-Yih Su
This paper also provides a baseline system and shows its performance on this dataset.
no code implementations • 30 Jan 2021 • Wen-Chin Huang, Chia-Hua Wu, Shang-Bao Luo, Kuan-Yu Chen, Hsin-Min Wang, Tomoki Toda
We propose a simple method for automatic speech recognition (ASR) by fine-tuning BERT, which is a language model (LM) trained on large-scale unlabeled text data and can generate rich contextual representations.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 25 May 2020 • Chia-Chih Kuo, Shang-Bao Luo, Kuan-Yu Chen
In a spoken multiple-choice question answering (SMCQA) task, given a passage, a question, and multiple choices all in the form of speech, the machine needs to pick the correct choice to answer the question.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3