2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
Tailoring Domain Adaptation for Machine Translation Quality Estimation
Javad Pourmostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain +4
While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data. For QE in particular…
quant-ph2021★ 2 cited
Evaluating performance of hybrid quantum optimization algorithms for MAXCUT Clustering using IBM runtime environment
Daniel Beaulieu, Anh Pham
Quantum algorithms can be used to perform unsupervised machine learning tasks like data clustering by mapping the distance between data points to a graph optimization problem (i.e.…