most citedA Twitter BERT Approach for Offensive Language Detection in Marathi

8 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023

Text Intimacy Analysis using Ensembles of Multilingual Transformers

Tanmay Chavan, Ved Patwardhan

Intimacy estimation of a given text has recently gained importance due to the increase in direct interaction of NLP systems with humans. Intimacy is an important aspect of natural…

cs.CL2023

Empathy and Distress Detection using Ensembles of Transformer Models

Tanmay Chavan, Kshitij Deshpande, Sheetal Sonawane

This paper presents our approach for the WASSA 2023 Empathy, Emotion and Personality Shared Task. Empathy and distress are human feelings that are implicitly expressed in natural d…

cs.CL2023

Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection

Saurabh Page, Sudeep Mangalvedhekar, Kshitij Deshpande +2

This paper presents our work for the Violence Inciting Text Detection shared task in the First Workshop on Bangla Language Processing. Social media has accelerated the propagation…

cs.CL2023★ 1 cited

SenTest: Evaluating Robustness of Sentence Encoders

Tanmay Chavan, Shantanu Patankar, Aditya Kane +3

Contrastive learning has proven to be an effective method for pre-training models using weakly labeled data in the vision domain. Sentence transformers are the NLP counterparts to…

cs.CL2023

My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks

Tanmay Chavan, Omkar Gokhale, Aditya Kane +2

The research on code-mixed data is limited due to the unavailability of dedicated code-mixed datasets and pre-trained language models. In this work, we focus on the low-resource In…

cs.CL2022★ 8 cited

A Twitter BERT Approach for Offensive Language Detection in Marathi

Tanmay Chavan, Shantanu Patankar, Aditya Kane +2

Automated offensive language detection is essential in combating the spread of hate speech, particularly in social media. This paper describes our work on Offensive Language Identi…

cs.CL2022★ 1 cited

Large Language Models for Multi-label Propaganda Detection

Tanmay Chavan, Aditya Kane

The spread of propaganda through the internet has increased drastically over the past years. Lately, propaganda detection has started gaining importance because of the negative imp…

cs.CL2022★ 4 cited

Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection

Omkar Gokhale, Aditya Kane, Shantanu Patankar +2

Pre-training large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. Although this method has proven to be effectiv…