33 citations · 115 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
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…
Quality-Aware Decoding for Neural Machine Translation
Patrick Fernandes, António Farinhas, Ricardo Rei +4
Despite the progress in machine translation quality estimation and evaluation in the last years, decoding in neural machine translation (NMT) is mostly oblivious to this and center…
Disentangling Uncertainty in Machine Translation Evaluation
Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei +1
Trainable evaluation metrics for machine translation (MT) exhibit strong correlation with human judgements, but they are often hard to interpret and might produce unreliable scores…
Onception: Active Learning with Expert Advice for Real World Machine Translation
Vânia Mendonça, Ricardo Rei, Luisa Coheur +1
Active learning can play an important role in low-resource settings (i.e., where annotated data is scarce), by selecting which instances may be more worthy to annotate. Most active…