Neural-based Context Representation Learning for Dialog Act Classification

Daniel Ortega; Ngoc Thang Vu

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arXiv · 1708.02561

Neural-based Context Representation Learning for Dialog Act Classification

Daniel Ortega·Ngoc Thang Vu

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Abstract

We explore context representation learning methods in neural-based models for dialog act classification. We propose and compare extensively different methods which combine recurrent neural network architectures and attention mechanisms (AMs) at different context levels. Our experimental results on two benchmark datasets show consistent improvements compared to the models without contextual information and reveal that the most suitable AM in the architecture depends on the nature of the dataset.

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Daniel Ortega, Ngoc Thang Vu. 2017-08-08. Neural-based Context Representation Learning for Dialog Act Classification. https://arxiv.org/abs/1708.02561

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