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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 11–20 of 31 papers

TitleStatusHype
Meta-Learning with MAML on Trees—0
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters—0
On Learning Universal Representations Across Languages—0
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference—0
PARADISE”:" Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining—0
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation—0
Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction—0
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer—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
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