185 citations · 553 across the 31 of their papers we have counts for
6 papers · 2 filters
Improving Context Modelling in Multimodal Dialogue Generation
Shubham Agarwal, Ondrej Dusek, Ioannis Konstas +1
In this work, we investigate the task of textual response generation in a multimodal task-oriented dialogue system. Our work is based on the recently released Multimodal Dialogue (…
A Knowledge-Grounded Multimodal Search-Based Conversational Agent
Shubham Agarwal, Ondrej Dusek, Ioannis Konstas +1
Multimodal search-based dialogue is a challenging new task: It extends visually grounded question answering systems into multi-turn conversations with access to an external databas…
Findings of the E2E NLG Challenge
Ondřej Dušek, Jekaterina Novikova, Verena Rieser
This paper summarises the experimental setup and results of the first shared task on end-to-end (E2E) natural language generation (NLG) in spoken dialogue systems. Recent end-to-en…
Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity
Xinnuo Xu, Ondřej Dušek, Ioannis Konstas +1
We present three enhancements to existing encoder-decoder models for open-domain conversational agents, aimed at effectively modeling coherence and promoting output diversity: (1)…
Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling
Simon Keizer, Verena Rieser
Recent statistical approaches have improved the robustness and scalability of spoken dialogue systems. However, despite recent progress in domain adaptation, their reliance on in-d…
RankME: Reliable Human Ratings for Natural Language Generation
Jekaterina Novikova, Ondřej Dušek, Verena Rieser
Human evaluation for natural language generation (NLG) often suffers from inconsistent user ratings. While previous research tends to attribute this problem to individual user pref…