most citedL3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models

17 citations · 26 across the 6 of their papers we have counts for

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6 papers

cs.CL20222 cited

Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique

Shriniwas Nayak, Anuj Kanetkar, Hrushabh Hirudkar +3

Suggesting similar questions for a user query has many applications ranging from reducing search time of users on e-commerce websites, training of employees in companies to holisti…

cs.CL20221 cited

Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil

Shantanu Patankar, Omkar Gokhale, Onkar Litake +2

This paper tries to address the problem of abusive comment detection in low-resource indic languages. Abusive comments are statements that are offensive to a person or a group of p…

cs.CL20223 cited

PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages

Aditya Vyawahare, Rahul Tangsali, Aditya Mandke +2

This paper presents a summary of the findings that we obtained based on the shared task on machine translation of Dravidian languages. We stood first in three of the five sub-tasks…

cs.CL2022

Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil

Omkar Gokhale, Shantanu Patankar, Onkar Litake +2

This paper aims to perform an emotion analysis of social media comments in Tamil. Emotion analysis is the process of identifying the emotional context of the text. In this paper, w…

cs.CL202217 cited

L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models

Parth Patil, Aparna Ranade, Maithili Sabane +2

Named Entity Recognition (NER) is a basic NLP task and finds major applications in conversational and search systems. It helps us identify key entities in a sentence used for the d…

cs.CV20213 cited

Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block

Durvesh Malpure, Onkar Litake, Rajesh Ingle

In recent developments in the field of Computer Vision, a rise is seen in the use of transformer-based architectures. They are surpassing the state-of-the-art set by CNN architectu…