40 citations · 100 across the 5 of their papers we have counts for
5 papers
A Novel Self-training Approach for Low-resource Speech Recognition
Satwinder Singh, Feng Hou, Ruili Wang
In this paper, we propose a self-training approach for automatic speech recognition (ASR) for low-resource settings. While self-training approaches have been extensively developed…
How to Design Translation Prompts for ChatGPT: An Empirical Study
Yuan Gao, Ruili Wang, Feng Hou
The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abi…
Improved Meta Learning for Low Resource Speech Recognition
Satwinder Singh, Ruili Wang, Feng Hou
We propose a new meta learning based framework for low resource speech recognition that improves the previous model agnostic meta learning (MAML) approach. The MAML is a simple yet…
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Jin Yuan, Feng Hou, Yangzhou Du +4
Domain adaptation (DA) tries to tackle the scenarios when the test data does not fully follow the same distribution of the training data, and multi-source domain adaptation (MSDA)…
Improving Entity Linking through Semantic Reinforced Entity Embeddings
Feng Hou, Ruili Wang, Jun He +1
Entity embeddings, which represent different aspects of each entity with a single vector like word embeddings, are a key component of neural entity linking models. Existing entity…