Daniel Ortega

Neural-based Context Representation Learning for Dialog Act\n Classification

2017 · arXiv (Cornell University)

We explore context representation learning methods in neural-based models for\ndialog act classification. We propose and compare extensively different methods\nwhich combine recurrent neural network architectures and attention mechanisms\n(AMs) at different context levels. Our experimental results on …