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20212026
most citedCometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

33 citations · 71 across the 29 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CL2023

Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues

Sumire Honda, Patrick Fernandes, Chrysoula Zerva

Despite the remarkable advancements in machine translation, the current sentence-level paradigm faces challenges when dealing with highly-contextual languages like Japanese. In thi…

cs.LG2023★ 2 cited

Non-Exchangeable Conformal Risk Control

António Farinhas, Chrysoula Zerva, Dennis Ulmer +1

Split conformal prediction has recently sparked great interest due to its ability to provide formally guaranteed uncertainty sets or intervals for predictions made by black-box neu…

cs.CL2023★ 7 cited

Uncertainty in Natural Language Generation: From Theory to Applications

Joris Baan, Nico Daheim, Evgenia Ilia +7

Recent advances of powerful Language Models have allowed Natural Language Generation (NLG) to emerge as an important technology that can not only perform traditional tasks like sum…

cs.CL2023

Conformalizing Machine Translation Evaluation

Chrysoula Zerva, André F. T. Martins

Several uncertainty estimation methods have been recently proposed for machine translation evaluation. While these methods can provide a useful indication of when not to trust mode…

cs.CL2023★ 2 cited

BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation

Taisiya Glushkova, Chrysoula Zerva, André F. T. Martins

Although neural-based machine translation evaluation metrics, such as COMET or BLEURT, have achieved strong correlations with human judgements, they are sometimes unreliable in det…

cs.CL2023

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors

Giorgos Filandrianos, Edmund Dervakos, Orfeas Menis-Mastromichalakis +2

In the wake of responsible AI, interpretability methods, which attempt to provide an explanation for the predictions of neural models have seen rapid progress. In this work, we are…