Items where City Author is "Madhyastha, Pranava"
Madhyastha, P. 
ORCID: 0000-0002-4438-8161, Founta, A. & Specia, L. (2023).
A study towards contextual understanding of toxicity in online conversations.
Natural Language Engineering,
doi: 10.1017/s1351324923000414
El-Naggar, N., Ryzhikov, A., Daviaud, L. , Madhyastha, P. ORCID: 0000-0002-4438-8161 & Weyde, T. ORCID: 0000-0001-8028-9905 (2023).
Formal and Empirical Studies of Counting Behaviour in ReLU RNNs.
Proceedings of Machine Learning Research, 217,
pp. 199-222.
ISSN 2640-3498
Hutchinson, M., Slingsby, A. ORCID: 0000-0003-3941-553X, Jianu, R. ORCID: 0000-0002-5834-2658 & Madhyastha, P. ORCID: 0000-0002-4438-8161 (2023).
Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models.
In:
EuroVis 2023 - Posters.
(pp. 77-79). Eindhoven, The Netherlands: Eurographics.
ISBN 9783038682202
doi: 10.2312/evp.20231072
Sabir, A., Moreno-Noguer, F., Madhyastha, P. ORCID: 0000-0002-4438-8161 & Padró, L. (2022).
Belief Revision based Caption Re-ranker with Visual Semantic Information.
Proceedings of the 29th International Conference on Computational Linguistics, 29(1),
pp. 5488-5506.
ISSN 2951-2093
El-Naggar, N., Madhyastha, P. ORCID: 0000-0002-4438-8161 & Weyde, T. (2022).
Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks.
Proceedings of the 3rd Human-Like Computing Workshop, 3227,
pp. 24-28.
ISSN 1613-0073
Specia, L., Wang, J., Lee, S. J. , Ostapenko, A. & Madhyastha, P. ORCID: 0000-0002-4438-8161 (2021).
Read, spot and translate.
Machine Translation, 35(2),
pp. 145-165.
doi: 10.1007/s10590-021-09259-z
López, J. A. D. & Madhyastha, P. ORCID: 0000-0002-4438-8161 (2021).
A focused analysis of twitter-based disinformation from foreign influence operations.
Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021), 2877,
ISSN 1613-0073
Scarton, C., Madhyastha, P. ORCID: 0000-0002-4438-8161 & Specia, L. (2020).
Deciding When, How and for Whom to Simplify.
Paper presented at the 24th European Conference on Artificial Intelligence (ECAI 2020), 29 Aug - 08 Sep 2020, Santiago de Compostela, Spain.
doi: 10.3233/FAIA200342