Papers by Aniket Tiwari

GenGO

Omakase Read Later

Search

Papers by Aniket Tiwari

Findings

2025.findings-acl

Code-mixed Multi-modal Multi-domain corpus
SoTA baseline models
SoTA models
parsing
NLU
summarization
machine comprehension
emotion recognition
Discourse paRsing
multi-domain code-mixed corpus

2025

Semantic Text Processing

1 papers

CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations (2025.findings-acl)

Copied to clipboard

Divyaksh Shukla, Ritesh Baviskar, Dwijesh Gohil, Aniket Tiwari, Atul Shree, Ashutosh Modi

Semantic Text Processing

Challenge:	Discourse parsing datasets based on conversations are restricted to a single domain . a lack of discourse structures in audio-based conversations is a challenge .
Approach:	They introduce CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse parsing in conversations.
Outcome:	The proposed corpus is code-mixed in Hindi and English and annotated with nine discourse relations.

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