activity
20152019
most citedPlanning for Goal-Oriented Dialogue Systems

17 citations · 36 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2019★ 17 cited

Planning for Goal-Oriented Dialogue Systems

Christian Muise, Tathagata Chakraborti, Shubham Agarwal +6

Generating complex multi-turn goal-oriented dialogue agents is a difficult problem that has seen a considerable focus from many leaders in the tech industry, including IBM, Google,…

cs.AI2019★ 7 cited

Generating Dialogue Agents via Automated Planning

Adi Botea, Christian Muise, Shubham Agarwal +9

Dialogue systems have many applications such as customer support or question answering. Typically they have been limited to shallow single turn interactions. However more advanced…

cs.CL2018

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…

cs.CL2017★ 2 cited

Hybrid Dialog State Tracker with ASR Features

Miroslav Vodolán, Rudolf Kadlec, Jan Kleindienst

This paper presents a hybrid dialog state tracker enhanced by trainable Spoken Language Understanding (SLU) for slot-filling dialog systems. Our architecture is inspired by previou…

cs.CL2016★ 1 cited

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…

cs.CL2015★ 9 cited

Hybrid Dialog State Tracker

Miroslav Vodolán, Rudolf Kadlec, Jan Kleindienst

This paper presents a hybrid dialog state tracker that combines a rule based and a machine learning based approach to belief state tracking. Therefore, we call it a hybrid tracker.…