2 papers
cs.CL2019
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis, Barlas Oğuz, Ruty Rinott +2
Question answering (QA) models have shown rapid progress enabled by the availability of large, high-quality benchmark datasets. Such annotated datasets are difficult and costly to…
cs.CL2018
XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Guillaume Lample, Ruty Rinott +4
State-of-the-art natural language processing systems rely on supervision in the form of annotated data to learn competent models. These models are generally trained on data in a si…