XNLI: Evaluating Cross-lingual Sentence Representations

EMNLP 2018 Alexis ConneauGuillaume LampleRuty RinottAdina WilliamsSamuel R. BowmanHolger SchwenkVeselin Stoyanov

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 single language (usually English), and cannot be directly used beyond that language... (read more)

PDF Abstract

Evaluation results from the paper

  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.