no code implementations • CONLL 2018 • 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.
no code implementations • COLING 2018 • Van-Khanh Tran, Le-Minh Nguyen
In this procedure, a model is first trained on a source domain data and then fine-tuned on a small set of target domain utterances under the guidance of two proposed critics.
no code implementations • WS 2017 • Van-Khanh Tran, Le-Minh Nguyen
Natural language generation (NLG) is an important component in spoken dialogue systems.
no code implementations • 4 Jun 2017 • Danilo S. Carvalho, Duc-Vu Tran, Van-Khanh Tran, Le-Nguyen Minh
In this work, a two-stage method for Legal Information Retrieval is proposed, combining lexical statistics and distributional sentence representations in the context of Competition on Legal Information Extraction/Entailment (COLIEE).
no code implementations • CONLL 2017 • Van-Khanh Tran, Le-Minh Nguyen
Natural language generation (NLG) is a critical component in a spoken dialogue system.
no code implementations • 1 Jun 2017 • Van-Khanh Tran, Le-Minh Nguyen
Natural language generation (NLG) plays a critical role in spoken dialogue systems.