66 citations · 123 across the 4 of their papers we have counts for
6 papers
Denotation Extraction for Interactive Learning in Dialogue Systems
Miroslav Vodolán, Filip Jurčíček
This paper presents a novel task using real user data obtained in human-machine conversation. The task concerns with denotation extraction from answer hints collected interactively…
A Context-aware Natural Language Generator for Dialogue Systems
Ondřej Dušek, Filip Jurčíček
We present a novel natural language generation system for spoken dialogue systems capable of entraining (adapting) to users' way of speaking, providing contextually appropriate res…
Recurrent Neural Networks for Dialogue State Tracking
Ondřej Plátek, Petr Bělohlávek, Vojtěch Hudeček +1
This paper discusses models for dialogue state tracking using recurrent neural networks (RNN). We present experiments on the standard dialogue state tracking (DST) dataset, DSTC2.…
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings
Ondřej Dušek, Filip Jurčíček
We present a natural language generator based on the sequence-to-sequence approach that can be trained to produce natural language strings as well as deep syntax dependency trees f…
Data Collection for Interactive Learning through the Dialog
Miroslav Vodolán, Filip Jurčíček
This paper presents a dataset collected from natural dialogs which enables to test the ability of dialog systems to learn new facts from user utterances throughout the dialog. This…
Incremental LSTM-based Dialog State Tracker
Lukas Zilka, Filip Jurcicek
A dialog state tracker is an important component in modern spoken dialog systems. We present an incremental dialog state tracker, based on LSTM networks. It directly uses automatic…