Junfan Chen

Parallel Interactive Networks for Multi-Domain Dialogue State Generation

2020 · arXiv (Cornell University)

The dependencies between system and user utterances in the same turn and across different turns are not fully considered in existing multidomain dialogue state tracking (MDST) models. In this study, we argue that the incorporation …

On Scalar Embedding of Relative Positions in Attention Models

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Attention with positional encoding has been demonstrated as a powerful component in modern neural network models, such as transformers. However, why positional encoding works well in attention models remains largely unanswered. In this paper, we …