1 citations · 2 across the 5 of their papers we have counts for
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Temporal Word Meaning Disambiguation using TimeLMs
Mihir Godbole, Parth Dandavate, Aditya Kane
Meaning of words constantly changes given the events in modern civilization. Large Language Models use word embeddings, which are often static and thus cannot cope with this semant…
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…
Efficient Gender Debiasing of Pre-trained Indic Language Models
Neeraja Kirtane, V Manushree, Aditya Kane
The gender bias present in the data on which language models are pre-trained gets reflected in the systems that use these models. The model's intrinsic gender bias shows an outdate…
Transformer based ensemble for emotion detection
Aditya Kane, Shantanu Patankar, Sahil Khose +1
Detecting emotions in languages is important to accomplish a complete interaction between humans and machines. This paper describes our contribution to the WASSA 2022 shared task w…