activity
20162026
most citedEvaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

185 citations · 665 across the 58 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CL2018★ 6 cited

Neural Response Ranking for Social Conversation: A Data-Efficient Approach

Igor Shalyminov, Ondřej Dušek, Oliver Lemon

The overall objective of 'social' dialogue systems is to support engaging, entertaining, and lengthy conversations on a wide variety of topics, including social chit-chat. Apart fr…

cs.CL2018

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 (…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018★ 5 cited

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)…

cs.CL2018★ 18 cited

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…