Search Results for author: Xingkun Liu

Found 12 papers, 3 papers with code

CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues

1 code implementation LREC 2020 Francisco J. Chiyah Garcia, José Lopes, Xingkun Liu, Helen Hastie

Large corpora of task-based and open-domain conversational dialogues are hugely valuable in the field of data-driven dialogue systems.

User Evaluation of a Multi-dimensional Statistical Dialogue System

1 code implementation WS 2019 Simon Keizer, Ondřej Dušek, Xingkun Liu, Verena Rieser

We present the first complete spoken dialogue system driven by a multi-dimensional statistical dialogue manager.

Benchmarking Natural Language Understanding Services for building Conversational Agents

5 code implementations13 Mar 2019 Xingkun Liu, Arash Eshghi, Pawel Swietojanski, Verena Rieser

We have recently seen the emergence of several publicly available Natural Language Understanding (NLU) toolkits, which map user utterances to structured, but more abstract, Dialogue Act (DA) or Intent specifications, while making this process accessible to the lay developer.

General Classification Intent Classification +1

Explainable Autonomy: A Study of Explanation Styles for Building Clear Mental Models

no code implementations WS 2018 Francisco Javier Chiyah Garcia, David A. Robb, Xingkun Liu, Atanas Laskov, Pedro Patron, Helen Hastie

As unmanned vehicles become more autonomous, it is important to maintain a high level of transparency regarding their behaviour and how they operate.

Text Generation

Explain Yourself: A Natural Language Interface for Scrutable Autonomous Robots

no code implementations6 Mar 2018 Francisco J. Chiyah Garcia, David A. Robb, Xingkun Liu, Atanas Laskov, Pedro Patron, Helen Hastie

Autonomous systems in remote locations have a high degree of autonomy and there is a need to explain what they are doing and why in order to increase transparency and maintain trust.

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