6 citations · 6 across the 4 of their papers we have counts for
4 papers
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
Ilias Chalkidis, Tommaso Pasini, Sheng Zhang +3
We present a benchmark suite of four datasets for evaluating the fairness of pre-trained language models and the techniques used to fine-tune them for downstream tasks. Our benchma…
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
Alessandro Raganato, Tommaso Pasini, Jose Camacho-Collados +1
The ability to correctly model distinct meanings of a word is crucial for the effectiveness of semantic representation techniques. However, most existing evaluation benchmarks for…
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
Tommaso Pasini, Francesco Maria Elia, Roberto Navigli
We release to the community six large-scale sense-annotated datasets in multiple language to pave the way for supervised multilingual Word Sense Disambiguation. Our datasets cover…
A Short Survey on Sense-Annotated Corpora
Tommaso Pasini, Jose Camacho-Collados
Large sense-annotated datasets are increasingly necessary for training deep supervised systems in Word Sense Disambiguation. However, gathering high-quality sense-annotated data fo…