most citedDoes BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2021

Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets

Natesh Reddy, Muktabh Mayank Srivastava

The problem statement addressed in this work is : For a public sentiment classification API, how can we set up a classifier that works well on different types of data, having limit…

cs.CL2020★ 3 cited

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…