Papers with Code · CC BY-SA 4.0

Cross-Lingual Natural Language Inference

Natural Language Inference › Cross-Lingual Natural Language Inference 16 평가 기록 4 datasets

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.

논문

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

1705.02364 2017-05-05 이 페이지의 평가 6건

Accuracy: 67.7%

Better Fine-Tuning by Reducing Representational Collapse

2008.03156 2020-08-06 이 페이지의 평가 3건

Accuracy: 84.2%

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

1810.04805 2018-10-11 이 페이지의 평가 2건

Accuracy: 70.5%

ByT5: Towards a token-free future with pre-trained byte-to-byte models

2105.13626 2021-05-28 이 페이지의 평가 2건

Accuracy: 83.7

Rethinking embedding coupling in pre-trained language models

2010.12821 2020-10-24 이 페이지의 평가 2건

Accuracy: 71.3

mGPT: Few-Shot Learners Go Multilingual

2204.07580 2022-04-15 이 페이지의 평가 1건

Accuracy: 40.6