3 citations · 3 across the 1 of their papers we have counts for
3 papers
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models
Natesh Reddy, Pranaydeep Singh, Muktabh Mayank Srivastava
When performing Polarity Detection for different words in a sentence, we need to look at the words around to understand the sentiment. Massively pretrained language models like BER…
LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text
Pranaydeep Singh, Els Lefever
This paper describes our contribution to the SemEval-2020 Task 9 on Sentiment Analysis for Code-mixed Social Media Text. We investigated two approaches to solve the task of Hinglis…
Multidomain Document Layout Understanding using Few Shot Object Detection
Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh +1
We try to address the problem of document layout understanding using a simple algorithm which generalizes across multiple domains while training on just few examples per domain. We…