6 citations · 7 across the 4 of their papers we have counts for
4 papers
SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus
Rishabh Gupta, Rajesh N Rao
Word embeddings are a basic building block of modern NLP pipelines. Efforts have been made to learn rich, efficient, and interpretable embeddings for large generic datasets availab…
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
Animesh Tiwari, Rishabh Gupta, Rohitash Chandra
Air pollution has a wide range of implications on agriculture, economy, road accidents, and health. In this paper, we use novel deep learning methods for short-term (multi-step-ahe…
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion
Rishabh Gupta, Rajesh N Rao
Semantic Noise affects text analytics activities for the domain-specific industries significantly. It impedes the text understanding which holds prime importance in the critical de…
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
Deepak Thukral, Adesh Pandey, Rishabh Gupta +2
Automatic estimation of relative difficulty of a pair of questions is an important and challenging problem in community question answering (CQA) services. There are limited studies…