activity
20212024
most citedExploring the Impact of Non-Verbal Virtual Agent Behavior on User Engagement in Argumentative Dialogues

3 citations · 12 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2024★ 3 cited

Exploring the Impact of Non-Verbal Virtual Agent Behavior on User Engagement in Argumentative Dialogues

Annalena Bea Aicher, Yuki Matsuda, Keichii Yasumoto +3

Engaging in discussions that involve diverse perspectives and exchanging arguments on a controversial issue is a natural way for humans to form opinions. In this process, the way a…

cs.RO2023

A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction

Nicholas Thomas Walker, Stefan Ultes, Pierre Lison

Knowledge graphs are often used to represent structured information in a flexible and efficient manner, but their use in situated dialogue remains under-explored. This paper presen…

cs.CL2023

Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring

Nicholas Thomas Walker, Stefan Ultes, Pierre Lison

Constructing responses in task-oriented dialogue systems typically relies on information sources such the current dialogue state or external databases. This paper presents a novel…

cs.HC2023

Fostering User Engagement in the Critical Reflection of Arguments

Klaus Weber, Annalena Aicher, Wolfang Minker +2

A natural way to resolve different points of view and form opinions is through exchanging arguments and knowledge. Facing the vast amount of available information on the internet,…

cs.CL2023★ 1 cited

System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator

Ye Liu, Stefan Ultes, Wolfgang Minker +1

In this work, we study dialogue scenarios that start from chit-chat but eventually switch to task-related services, and investigate how a unified dialogue model, which can engage i…

cs.CL2023

Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues

Ye Liu, Stefan Ultes, Wolfgang Minker +1

Spoken dialogue systems (SDSs) have been separately developed under two different categories, task-oriented and chit-chat. The former focuses on achieving functional goals and the…

cs.CL2022★ 3 cited

GraphWOZ: Dialogue Management with Conversational Knowledge Graphs

Nicholas Thomas Walker, Stefan Ultes, Pierre Lison

We present a new approach to dialogue management using conversational knowledge graphs as core representation of the dialogue state. To this end, we introduce a new dataset, GraphW…

cs.CL2022★ 2 cited

ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation

Ye Liu, Wolfgang Maier, Wolfgang Minker +1

The pre-trained conversational models still fail to capture the implicit commonsense (CS) knowledge hidden in the dialogue interaction, even though they were pre-trained with an en…

cs.CL2021★ 1 cited

Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems

Ye Liu, Wolfgang Maier, Wolfgang Minker +1

This work combines information about the dialogue history encoded by pre-trained model with a meaning representation of the current system utterance to realize contextual language…

cs.CL2021★ 1 cited

Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge

Ye Liu, Wolfgang Maier, Wolfgang Minker +1

One challenge for dialogue agents is to recognize feelings of the conversation partner and respond accordingly. In this work, RoBERTa-GPT2 is proposed for empathetic dialogue gener…

cs.CL2021★ 1 cited

Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT

Ye Liu, Wolfgang Maier, Wolfgang Minker +1

This paper presents an automatic method to evaluate the naturalness of natural language generation in dialogue systems. While this task was previously rendered through expensive an…