Search Results for author: Vojtěch Hudeček

Found 2 papers, 1 papers with code

AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models

1 code implementation EMNLP (NLP4ConvAI) 2021 Jonáš Kulhánek, Vojtěch Hudeček, Tomáš Nekvinda, Ondřej Dušek

Our model substantially outperforms the baseline on the MultiWOZ data and shows competitive performance with state of the art in both automatic and human evaluation.

Ranked #3 on End-To-End Dialogue Modelling on MULTIWOZ 2.0 (using extra training data)

End-To-End Dialogue Modelling Translation

Recurrent Neural Networks for Dialogue State Tracking

no code implementations28 Jun 2016 Ondřej Plátek, Petr Bělohlávek, Vojtěch Hudeček, Filip Jurčíček

This paper discusses models for dialogue state tracking using recurrent neural networks (RNN).

Dialogue State Tracking

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