4 citations · 6 across the 5 of their papers we have counts for
5 papers
Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition
Zezhong Jin, Dading Zhong, Xiao Song +3
Fine tuning self supervised pretrained models using pseudo labels can effectively improve speech recognition performance. But, low quality pseudo labels can misguide decision bound…
A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives
Qingcheng Zeng, An-Ran Li
Irony is a ubiquitous figurative language in daily communication. Previously, many researchers have approached irony from linguistic, cognitive science, and computational aspects.…
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection
Peilin Zhou, Dading Chong, Helin Wang +1
The past ten years have witnessed the rapid development of text-based intent detection, whose benchmark performances have already been taken to a remarkable level by deep learning…
Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training
Dading Chong, Helin Wang, Peilin Zhou +1
Transformer-based models attain excellent results and generalize well when trained on sufficient amounts of data. However, constrained by the limited data available in the audio do…
Fancy Man Lauches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction
Haoding Meng, Qingcheng Zeng, Xiaoyang Fang +1
Automatic or semi-automatic conversion of protocols specifying steps in performing a lab procedure into machine-readable format benefits biological research a lot. These noisy, den…