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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
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks—0
XNLI: Evaluating Cross-lingual Sentence RepresentationsCode0
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and UnderstandingCode0
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual TemplatesCode0
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual VerbalizerCode0
Language Embeddings for Typology and Cross-lingual Transfer LearningCode0
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud ClustersCode0
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence PretrainingCode0
Rethinking embedding coupling in pre-trained language modelsCode0
SILT: Efficient transformer training for inter-lingual inferenceCode0
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