Dirk Väth

According to our database1, Dirk Väth authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Zero-Shot approach to the Conversational Tree Search Task.
CoRR, 2024

Investigating the effect of Mental Models in User Interaction with an Adaptive Dialog Agent.
CoRR, 2024

Towards a Zero-Data, Controllable, Adaptive Dialog System.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Conversational Tree Search: A New Hybrid Dialog Task.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

DIAGRAPH: An Open-Source Graphic Interface for Dialog Flow Design.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
NMTVis - Extended Neural Machine Translation Visualization System.
Dataset, January, 2022

Visualization-based improvement of neural machine translation.
Comput. Graph., 2022

2021
NMTVis - Trained Models for our Visual Analytics System.
Dataset, May, 2021

NMTVis - Neural Machine Translation Visualization System.
Dataset, May, 2021

Visual-Interactive Neural Machine Translation.
Proceedings of the 47th Graphics Interface Conference, 2021

Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

"It seemed like an annoying woman": On the Perception and Ethical Considerations of Affective Language in Text-Based Conversational Agents.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
To Combine or Not To Combine? A Rainbow Deep Reinforcement Learning Agent for Dialog Policies.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

ADVISER: A Dialog System Framework for Education & Research.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


  Loading...