Paper Group NAWR 22
October 16, 2019
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. Fully Statistical Neural Belief Tracking. An Empirical Study of Building a Strong Baseline for Constituency Parsing. Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem. Fusing Document, Collection and L …