Aditya Kane
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View article: SenTest: Evaluating Robustness of Sentence Encoders
SenTest: Evaluating Robustness of Sentence Encoders Open
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 this architecture, and have been growing in popularity due …
View article: My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks Open
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 Indian language Marathi which lacks any prior work in code-mi…
View article: My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks Open
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 Indian language Marathi which lacks any prior work in code-mix…
View article: A Twitter BERT Approach for Offensive Language Detection in Marathi
A Twitter BERT Approach for Offensive Language Detection in Marathi Open
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 Identification in low resource Indic language Marathi. The proble…
View article: Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection Open
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 effective for many domains, it might not always provide desirable b…
View article: ChavanKane at WANLP 2022 Shared Task: Large Language Models for Multi-label Propaganda Detection
ChavanKane at WANLP 2022 Shared Task: Large Language Models for Multi-label Propaganda Detection Open
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 impact it has on society. In this work, we describe our approa…