7 citations · 9 across the 4 of their papers we have counts for
4 papers
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model
Aditi Kanwar, Aditi Seetha, Satyendra Singh Chouhan +1
This paper presents a Soft Labeling and Noisy Mixup-based open intent classification model (SNOiC). Most of the previous works have used threshold-based methods to identify open in…
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification
Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore
In recent years, deep learning-based models have significantly improved the Natural Language Processing (NLP) tasks. Specifically, the Convolutional Neural Network (CNN), initially…
DiPD: Disruptive event Prediction Dataset from Twitter
Sanskar Soni, Dev Mehta, Vinush Vishwanath +2
Riots and protests, if gone out of control, can cause havoc in a country. We have seen examples of this, such as the BLM movement, climate strikes, CAA Movement, and many more, whi…
Open-world Machine Learning: Applications, Challenges, and Opportunities
Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury +1
Traditional machine learning mainly supervised learning, follows the assumptions of closed-world learning, i.e., for each testing class, a training class is available. However, suc…