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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
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference—0
PARADISE”:" Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining—0
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks—0
Data Augmentation with Adversarial Training for Cross-Lingual NLI—0
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation—0
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering—0
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer—0
Cross-Lingual Transfer with MAML on Trees—0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings—0
Meta-Learning with MAML on Trees—0
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