Papers by Habeebah Kakudi

1 papers
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language (2023.findings-acl)

Copied to clipboard

Challenge: Existing models for visual question answering are limited to the English language.
Approach: They present a multimodal dataset for visual question answering tasks in the Hausa language.
Outcome: The proposed dataset provides 12,044 gold standard English-Hausa parallel sentences that are semantically identical to the corresponding visual information.

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