no code implementations • EACL (LTEDI) 2021 • Senthil Kumar B, Aravindan Chandrabose, Bharathi Raja Chakravarthi
Data in general encodes human biases by default; being aware of this is a good start, and the research around how to handle it is ongoing.
no code implementations • EACL (LTEDI) 2021 • Arunima S, Akshay Ramakrishnan, Avantika Balaji, Thenmozhi D., Senthil Kumar B
In recent times, there exists an abundance of research to classify abusive and offensive texts focusing on negative comments but only minimal research using the positive reinforcement approach.
1 code implementation • 15 Nov 2021 • Karthik Puranik, Bharathi B, Senthil Kumar B
This research paper bestows a tiny contribution to this research in the form of sentiment analysis of code-mixed social media comments in the popular Dravidian languages Kannada, Tamil and Malayalam.
no code implementations • LTEDI (ACL) 2022 • Bharathi B, Dhanya Srinivasan, Josephine Varsha, Thenmozhi Durairaj, Senthil Kumar B
In recent times, applications have been developed to regulate and control the spread of negativity and toxicity on online platforms.
no code implementations • LTEDI (ACL) 2022 • Dhanya Srinivasan, Bharathi B, Thenmozhi Durairaj, Senthil Kumar B
Automatic speech recognition is a tool used to transform human speech into a written form.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • DravidianLangTech (ACL) 2022 • Divyasri K, Gayathri G L, Krithika Swaminathan, Thenmozhi Durairaj, Bharathi B, Senthil Kumar B
As the world around us continues to become increasingly digital, it has been acknowledged that there is a growing need for emotion analysis of social media content.
no code implementations • LATERAISSE (LREC) 2022 • Senthil Kumar B, Pranav Tiwari, Aman Chandra Kumar, Aravindan Chandrabose
In this paper, we studied the gender bias in monolingual word embeddings of two Indian languages Hindi and Tamil.