no code implementations • SemEval (NAACL) 2022 • Sagar Joshi, Dhaval Taunk, Vasudeva Varma
For modeling the similarity task by using the representations given by these models, a Siamese architecture was used as the underlying architecture.
no code implementations • 29 Mar 2023 • Dhaval Taunk, Vasudeva Varma
With the advent of multilingual models like mBART, mT5, IndicBART etc., summarization in low resource Indian languages is getting a lot of attention now a days.
no code implementations • 22 Mar 2023 • Dhaval Taunk, Lakshya Khanna, Pavan Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi
Commonsense question-answering (QA) methods combine the power of pre-trained Language Models (LM) with the reasoning provided by Knowledge Graphs (KG).
Ranked #8 on Question Answering on OpenBookQA
1 code implementation • 22 Mar 2023 • Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma
But, for low-resource languages, the scarcity of reference articles makes monolingual summarization ineffective in solving this problem.
Ranked #1 on Cross-Lingual Abstractive Summarization on XWikiRef
Cross-Lingual Abstractive Summarization Document Summarization +3