Papers with adapter layer formalism

1 papers
Monolingual Adapters for Zero-Shot Neural Machine Translation (2020.emnlp-main)

Copied to clipboard

Challenge: Existing adapter layers are more parameter-efficient and provide better performance than bilingual ones.
Approach: They propose to use monolingual adapter layers instead of bilingual ones to compose them and generalize to unseen language pairs.
Outcome: The proposed adapter layer formalism achieves a median improvement of +2.77 BLEU points over a 20-language multilingual Transformer baseline trained on TED talks.

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