ACL 2022 Best Resource Paper Award!
“DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation” has been awarded as ‘Best Resource Paper
We are thrilled to announce that our work “DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation” has been awarded as ‘Best Resource Paper at ACL 2022’! Many congratulations to the authors Niccolò Campolungo, Federico Martelli, Francesco Saina and Roberto Navigli!