We present the joint contribution of IST and Unbabel to the WMT 2021 Shared Task on Quality Estimation.
In this paper, we present the joint contribution of Unbabel and IST to the WMT 2021 Metrics Shared Task.
We report the results of the WMT 2021 shared task on Quality Estimation, where the challenge is to predict the quality of the output of neural machine translation systems at the word and sentence levels.
The rapid growth of scientific literature in the biomedical and clinical domain has significantly com- plicated the identification of information of interest by researchers as well as other practitioners.
Ranked #1 on Information Retrieval on Ohsumed
We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE).
We compare the differences in the definition and expression of uncertainty between a scientific domain, i. e., biomedicine, and newswire.