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

33 citations · 51 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 17 cited

xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection

Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt +3

Widely used learned metrics for machine translation evaluation, such as COMET and BLEURT, estimate the quality of a translation hypothesis by providing a single sentence-level scor…

cs.CL2023

Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task

Ricardo Rei, Nuno M. Guerreiro, José Pombal +5

We present the joint contribution of Unbabel and Instituto Superior Técnico to the WMT 2023 Shared Task on Quality Estimation (QE). Our team participated on all tasks: sentence- an…

cs.CL2023

Enhancing Portuguese Sign Language Animation with Dynamic Timing and Mouthing

Inês Lacerda, Hugo Nicolau, Luisa Coheur

Current signing avatars are often described as unnatural as they cannot accurately reproduce all the subtleties of synchronized body behaviors of a human signer. In this paper, we…

cs.CL2023

The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics

Ricardo Rei, Nuno M. Guerreiro, Marcos Treviso +3

Neural metrics for machine translation evaluation, such as COMET, exhibit significant improvements in their correlation with human judgments, as compared to traditional metrics bas…

cs.CL2022★ 33 cited

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro +9

We present the joint contribution of IST and Unbabel to the WMT 2022 Shared Task on Quality Estimation (QE). Our team participated on all three subtasks: (i) Sentence and Word-leve…

cs.CL2022★ 1 cited

Towards a Sentiment-Aware Conversational Agent

Isabel Dias, Ricardo Rei, Patrícia Pereira +1

In this paper, we propose an end-to-end sentiment-aware conversational agent based on two models: a reply sentiment prediction model, which leverages the context of the dialogue to…