Papers by Ruchit Agrawal

2 papers
A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions (2025.findings-naacl)

Copied to clipboard

Challenge: Existing literature on Arabic sentiment analysis is limited, compared to high-resourced languages such as English and French.
Approach: They present a systematic review of existing literature on Arabic sentiment analysis focusing on research utilizing deep learning.
Outcome: The proposed methods highlight gaps in the literature on Arabic sentiment analysis and outline promising directions for future research.
No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP (L18-1)

Copied to clipboard

Challenge: idioms are a part of natural language and are difficult to learn with a parallel corpora database.
Approach: They propose to use a parallel idiom dataset to train two NLP subtasks . they show significant improvement in the two subtask training without the idiomatic dataset .
Outcome: The proposed model improves on baseline models with the idiom dataset for two NLP applications.

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