Junsheng Kong

TSDG: Content-aware Neural Response Generation with Two-stage Decoding Process

2020

Neural response generative models have achieved remarkable progress in recent years but tend to yield irrelevant and uninformative responses. One of the reasons is that encoderdecoder based models always use a single decoder to generate …

Fast Extraction of Word Embedding from Q-contexts

2021

The notion of word embedding plays a fundamental role in natural language processing (NLP). However, pre-training word embedding for very large-scale vocabulary is computationally challenging for most existing methods. In this work, we show that …