About

Using data and models available for one language for which ample such resources are available (e.g., English) to solve a natural language inference task in another, commonly more low-resource, language.

Benchmarks

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Datasets

Latest papers without code

SML: a new Semantic Embedding Alignment Transformer for efficient cross-lingual Natural Language Inference

17 Mar 2021

NLI is one of the best scenarios to test these architectures, due to the knowledge required to understand complex sentences and established a relation between a hypothesis and a premise.

CROSS-LINGUAL NATURAL LANGUAGE INFERENCE QUESTION ANSWERING

Meta-Learning with MAML on Trees

8 Mar 2021

We show that TreeMAML improves the state of the art results for cross-lingual Natural Language Inference.

CROSS-LINGUAL NATURAL LANGUAGE INFERENCE CROSS-LINGUAL TRANSFER HIERARCHICAL STRUCTURE META-LEARNING NATURAL LANGUAGE UNDERSTANDING

On Learning Universal Representations Across Languages

ICLR 2021

Recent studies have demonstrated the overwhelming advantage of cross-lingual pre-trained models (PTMs), such as multilingual BERT and XLM, on cross-lingual NLP tasks.

CROSS-LINGUAL NATURAL LANGUAGE INFERENCE LANGUAGE MODELLING MACHINE TRANSLATION

XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering

ICLR 2020

XLDA is in contrast to, and performs markedly better than, a more naive approach that aggregates examples in various languages in a way that each example is solely in one language.

CROSS-LINGUAL NATURAL LANGUAGE INFERENCE DATA AUGMENTATION QUESTION ANSWERING TRANSFER LEARNING