Takip et
Verena Rieser
Verena Rieser
Google DeepMind
deepmind.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
17482023
Why we need new evaluation metrics for NLG
J Novikova, O Dušek, AC Curry, V Rieser
arXiv preprint arXiv:1707.06875, 2017
5822017
The E2E dataset: New challenges for end-to-end generation
J Novikova, O Dušek, V Rieser
arXiv preprint arXiv:1706.09254, 2017
4682017
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
360*2020
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: 10th …, 2021
3142021
SLURP: A spoken language understanding resource package
E Bastianelli, A Vanzo, P Swietojanski, V Rieser
arXiv preprint arXiv:2011.13205, 2020
2362020
Twenty years of confusion in human evaluation: NLG needs evaluation sheets and standardised definitions
DM Howcroft, A Belz, M Clinciu, D Gkatzia, SA Hasan, S Mahamood, ...
13th International Conference on Natural Language Generation 2020, 169-182, 2020
2252020
An arabic twitter corpus for subjectivity and sentiment analysis
E Refaee, V Rieser
9th International Language Resources and Evaluation Conference, 2268-2273, 2014
2242014
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
2042011
Sociotechnical safety evaluation of generative ai systems
L Weidinger, M Rauh, N Marchal, A Manzini, LA Hendricks, ...
arXiv preprint arXiv:2310.11986, 2023
1392023
Natural language generation as planning under uncertainty for spoken dialogue systems
V Rieser, O Lemon
Empirical methods in natural language generation, 105-120, 2009
1302009
RankME: Reliable human ratings for natural language generation
J Novikova, O Dušek, V Rieser
arXiv preprint arXiv:1803.05928, 2018
1232018
Semantic noise matters for neural natural language generation
O Dušek, DM Howcroft, V Rieser
arXiv preprint arXiv:1911.03905, 2019
1192019
# MeToo Alexa: how conversational systems respond to sexual harassment
AC Curry, V Rieser
Proceedings of the second acl workshop on ethics in natural language …, 2018
1182018
Data-to-text generation improves decision-making under uncertainty
D Gkatzia, O Lemon, V Rieser
IEEE Computational Intelligence Magazine 12 (3), 10-17, 2017
112*2017
Anticipating safety issues in e2e conversational ai: Framework and tooling
E Dinan, G Abercrombie, AS Bergman, S Spruit, D Hovy, YL Boureau, ...
arXiv preprint arXiv:2107.03451, 2021
1072021
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
942008
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
862013
ConvAbuse: Data, analysis, and benchmarks for nuanced abuse detection in conversational AI
AC Curry, G Abercrombie, V Rieser
arXiv preprint arXiv:2109.09483, 2021
802021
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
802012
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