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 EMNLP 2018 PDF EMNLP 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Natural Language Inference XNLI French BiLSTM-max Accuracy 68.3 # 3

Methods used in the Paper