no code implementations • WMT (EMNLP) 2021 • Chrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C Farinha, Pedro Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fabio Kepler, André F. T. Martins
We present the joint contribution of IST and Unbabel to the WMT 2021 Shared Task on Quality Estimation.
1 code implementation • WMT (EMNLP) 2021 • Ricardo Rei, Ana C Farinha, Chrysoula Zerva, Daan van Stigt, Craig Stewart, Pedro Ramos, Taisiya Glushkova, André F. T. Martins, Alon Lavie
In this paper, we present the joint contribution of Unbabel and IST to the WMT 2021 Metrics Shared Task.
no code implementations • WMT (EMNLP) 2021 • Lucia Specia, Frédéric Blain, Marina Fomicheva, Chrysoula Zerva, Zhenhao Li, Vishrav Chaudhary, André F. T. Martins
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.
1 code implementation • 13 Apr 2022 • Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei, André F. T. Martins
Neural-based machine translation (MT) evaluation metrics are progressing fast.
1 code implementation • ACL 2022 • Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou
Negation and uncertainty modeling are long-standing tasks in natural language processing.
2 code implementations • Findings (EMNLP) 2021 • Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins
Several neural-based metrics have been recently proposed to evaluate machine translation quality.
no code implementations • AAAI-MAKE 2021 • Edmund Dervakos, Giorgos Filandrianos, Konstantinos Thomas, Alexios Mandalios, Chrysoula Zerva, Giorgos Stamou
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
1 code implementation • 9 Oct 2020 • Marina Fomicheva, Shuo Sun, Erick Fonseca, Chrysoula Zerva, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins
We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE).
no code implementations • WS 2018 • Chrysoula Zerva, Sophia Ananiadou
We compare the differences in the definition and expression of uncertainty between a scientific domain, i. e., biomedicine, and newswire.