Papers by Júlia Sato

1 papers
Multilingual and Multimodal Learning for Brazilian Portuguese (2022.lrec-1)

Copied to clipboard

Challenge: Existing models that learn multimodal and multilingual representations perform better in many natural language tasks.
Approach: They use a multimodal and multilingual corpus to test its generalization ability for other languages . they achieve a BLEU score of 51.8 and a METEOR score of 78.0 on the test set .
Outcome: The proposed model outperforms the existing model on a Portuguese-English multimodal translation task.

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