Papers by Jordan Kralev

1 papers
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset (2022.lrec-1)

Copied to clipboard

Challenge: The goal of the project Multilingual Image Corpus is to provide a large image dataset with annotated objects and object descriptions in 24 languages.
Approach: They propose to provide a large image dataset with annotated objects and object descriptions in 24 languages.
Outcome: The project provides a large image dataset with annotated objects and object descriptions in 24 languages.

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