Verena Rieser
Verena Rieser
Professor of Artificial Intelligence, Heriot-Watt University, Edinburgh
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Why we need new evaluation metrics for NLG
J Novikova, O Dušek, AC Curry, V Rieser
arXiv preprint arXiv:1707.06875, 2017
The E2E dataset: New challenges for end-to-end generation
J Novikova, O Dušek, V Rieser
arXiv preprint arXiv:1706.09254, 2017
An arabic twitter corpus for subjectivity and sentiment analysis.
E Refaee, V Rieser
LREC, 2268-2273, 2014
Evaluating the state-of-the-art of end-to-end natural language generation: The e2e nlg challenge
O Dušek, J Novikova, V Rieser
Computer Speech & Language 59, 123-156, 2020
Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation
V Rieser, O Lemon
Springer Science & Business Media, 2011
Natural language generation as planning under uncertainty for spoken dialogue systems
V Rieser, O Lemon
Empirical methods in natural language generation, 105-120, 2009
Natural language generation as planning under uncertainty for spoken dialogue systems
V Rieser, O Lemon
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009
Learning effective multimodal dialogue strategies from Wizard-of-Oz data: Bootstrapping and evaluation
V Rieser, O Lemon
Proceedings of ACL-08: HLT, 638-646, 2008
Agent-based modelling of land use dynamics and residential quality of life for future scenarios
D Murray-Rust, V Rieser, DT Robinson, V Miličič, M Rounsevell
Environmental Modelling & Software 46, 75-89, 2013
Benchmarking natural language understanding services for building conversational agents
X Liu, A Eshghi, P Swietojanski, V Rieser
Increasing Naturalness and Flexibility in Spoken Dialogue Interaction, 165-183, 2021
Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia
DT Robinson, D Murray-Rust, V Rieser, V Milicic, M Rounsevell
Computers, Environment and Urban Systems 36 (2), 164-176, 2012
Cluster-based user simulations for learning dialogue strategies.
V Rieser, O Lemon
Interspeech, 2006
Data-to-text generation improves decision-making under uncertainty
D Gkatzia, O Lemon, V Rieser
IEEE Computational Intelligence Magazine 12 (3), 10-17, 2017
Implications for generating clarification requests in task-oriented dialogues
V Rieser, JD Moore
Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005
Crowd-sourcing nlg data: Pictures elicit better data
J Novikova, O Lemon, V Rieser
arXiv preprint arXiv:1608.00339, 2016
Optimising information presentation for spoken dialogue systems
V Rieser, O Lemon, X Liu
Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010
A corpus collection and annotation framework for learning multimodal clarification strategies
V Rieser, I Kruijff-Korbayová, O Lemon
6th SIGdial Workshop on DISCOURSE and DIALOGUE, 2005
RankME: Reliable human ratings for natural language generation
J Novikova, O Dušek, V Rieser
arXiv preprint arXiv:1803.05928, 2018
Subjectivity and sentiment analysis of arabic twitter feeds with limited resources
E Refaee, V Rieser
Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools …, 2014
Learning and evaluation of dialogue strategies for new applications: Empirical methods for optimization from small data sets
V Rieser, O Lemon
Computational Linguistics 37 (1), 153-196, 2011
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Artikkelit 1–20