19 citations · 29 across the 3 of their papers we have counts for
6 papers
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems
Van-Khanh Tran, Le-Minh Nguyen
Recent deep learning models have shown improving results to natural language generation (NLG) irrespective of providing sufficient annotated data. However, a modest training data m…
Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems
Van-Khanh Tran, Le-Minh Nguyen
Domain Adaptation arises when we aim at learning from source domain a model that can per- form acceptably well on a different target domain. It is especially crucial for Natural La…
Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation
Van-Khanh Tran, Le-Minh Nguyen
Natural language generation (NLG) is an important component in spoken dialogue systems. This paper presents a model called Encoder-Aggregator-Decoder which is an extension of an Re…
Semantic Refinement GRU-based Neural Language Generation for Spoken Dialogue Systems
Van-Khanh Tran, Le-Minh Nguyen
Natural language generation (NLG) plays a critical role in spoken dialogue systems. This paper presents a new approach to NLG by using recurrent neural networks (RNN), in which a g…
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities
Danilo S. Carvalho, Duc-Vu Tran, Van-Khanh Tran +1
Legal professionals worldwide are currently trying to get up-to-pace with the explosive growth in legal document availability through digital means. This drives a need for high eff…
Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks
Van-Khanh Tran, Le-Minh Nguyen
Natural language generation (NLG) is a critical component in a spoken dialogue system. This paper presents a Recurrent Neural Network based Encoder-Decoder architecture, in which a…