Papers by Himanshi Mathur

1 papers
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? (2023.eacl-main)

Copied to clipboard

Challenge: A common problem associated with meme comprehension lies in detecting the entities referenced and characterizing the role of each of these entities.
Approach: They propose to use a memes dataset on US Politics and Covid-19 memes to characterize the role of harmful entities in memes.
Outcome: The proposed model improves 4% over baseline and 1% over competing models.

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