Papers with downstream language transfer

1 papers
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers (2020.emnlp-main)

Copied to clipboard

Challenge: Existing studies show that multilingual transformers are less effective in resource-lean scenarios and for distant languages.
Approach: They propose to use massively multilingual transformers to pretrain languages . they show that MMTs are less effective in resource-lean scenarios and distant languages if they are pre-trained via language modeling .
Outcome: The proposed model is less effective in resource-lean scenarios and for distant languages than cross-lingual word embeddings.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations