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Cross-Lingual Natural Language Inference

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.

Papers

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Showing 21–30 of 31 papers

TitleStatusHype
Meta-Learning with MAML on Trees—0
Rethinking embedding coupling in pre-trained language modelsCode0
Better Fine-Tuning by Reducing Representational CollapseCode1
On Learning Universal Representations Across Languages—0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings—0
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks—0
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering—0
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondCode1
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
XNLI: Evaluating Cross-lingual Sentence RepresentationsCode0
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