Segui
Ondřej Dušek
Ondřej Dušek
Institute of Formal and Applied Linguistics, Charles University, Prague, Czechia
Email verificata su ufal.mff.cuni.cz - Home page
Titolo
Citata da
Citata da
Anno
Why We Need New Evaluation Metrics for NLG
J Novikova, O Dušek, AC Curry, V Rieser
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
5702017
The E2E dataset: New challenges for end-to-end generation
J Novikova, O Dušek, V Rieser
Proceedings of the 18th Annual Meeting of the Special Interest Group on …, 2017
4582017
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
2632020
Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings
O Dušek, F Jurčíček
54th Annual Meeting of the Association for Computational Linguistics, 45-51, 2016
2182016
The gem benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
1532021
Findings of the E2E NLG challenge
O Dušek, J Novikova, V Rieser
Proceedings of the 11th International Conference on Natural Language …, 2018
1302018
RankME: Reliable Human Ratings for Natural Language Generation
J Novikova, O Dušek, V Rieser
Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018
1202018
Semantic Noise Matters for Neural Natural Language Generation
O Dušek, DM Howcroft, V Rieser
Proceedings of the 12th International Conference on Natural Language …, 2019
1182019
CzEng 1.6: enlarged Czech-English parallel corpus with processing tools dockered
O Bojar, O Dušek, T Kocmi, J Libovický, M Novák, M Popel, R Sudarikov, ...
International Conference on Text, Speech, and Dialogue, 231-238, 2016
1082016
Leak, cheat, repeat: Data contamination and evaluation malpractices in closed-source llms
S Balloccu, P Schmidtová, M Lango, O Dušek
arXiv preprint arXiv:2402.03927, 2024
1072024
A context-aware natural language generator for dialogue systems
O Dušek, F Jurčíček
SIGDIAL 2016, 185-190, 2016
1012016
HamleDT: Harmonized multi-language dependency treebank
D Zeman, O Dušek, D Mareček, M Popel, L Ramasamy, J Štěpánek, ...
Language Resources and Evaluation 48 (4), 601-637, 2014
882014
Are LLMs all you need for task-oriented dialogue?
V Hudeček, O Dušek
arXiv preprint arXiv:2304.06556, 2023
872023
The Joy of Parallelism with CzEng 1.0
O Bojar, Z Žabokrtský, O Dušek, P Galušcáková, M Majliš, D Marecek, ...
LREC, 2012
832012
One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech
T Nekvinda, O Dušek
INTERSPEECH, 2020
802020
Evaluating semantic accuracy of data-to-text generation with natural language inference
O Dušek, Z Kasner
arXiv preprint arXiv:2011.10819, 2020
792020
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
752021
Better conversations by modeling, filtering, and optimizing for coherence and diversity
X Xu, O Dušek, I Konstas, V Rieser
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
752018
Adaptation of machine translation for multilingual information retrieval in the medical domain
P Pecina, O Dušek, L Goeuriot, J Hajič, J Hlaváčová, GJF Jones, L Kelly, ...
Artificial intelligence in medicine 61 (3), 165-185, 2014
682014
DEPFIX: A System for Automatic Correction of Czech MT Outputs
R Rosa, D Marecek, O Dušek
WMT'12, 2012
672012
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
Articoli 1–20