90 citations · 376 across the 23 of their papers we have counts for
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cs.CL2019
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
Genta Indra Winata, Andrea Madotto, Zhaojiang Lin +4
Detecting emotion from dialogue is a challenge that has not yet been extensively surveyed. One could consider the emotion of each dialogue turn to be independent, but in this paper…
cs.CL2019
A novel repetition normalized adversarial reward for headline generation
Peng Xu, Pascale Fung
While reinforcement learning can effectively improve language generation models, it often suffers from generating incoherent and repetitive phrases \cite{paulus2017deep}. In this p…
cs.CL2019★ 1 cited
Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets
Dario Bertero, Onno Kampman, Pascale Fung
We propose an end-to-end affect recognition approach using a Convolutional Neural Network (CNN) that handles multiple languages, with applications to emotion and personality recogn…