11 citations · 25 across the 4 of their papers we have counts for
5 papers · 1 filter
Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection
Rajkumar Pujari, Erik Oveson, Priyanka Kulkarni +1
As large Pre-trained Language Models (PLMs) trained on large amounts of data in an unsupervised manner become more ubiquitous, identifying various types of bias in the text has com…
A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles
Rajkumar Pujari, Swara Desai, Niloy Ganguly +1
This paper presents a novel two-stage framework to extract opinionated sentences from a given news article. In the first stage, Naive Bayes classifier by utilizing the local featur…
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta, Rajkumar Pujari, Asif Ekbal +4
In this paper, we propose a hybrid technique for semantic question matching. It uses our proposed two-layered taxonomy for English questions by augmenting state-of-the-art deep lea…
Using Natural Language Relations between Answer Choices for Machine Comprehension
Rajkumar Pujari, Dan Goldwasser
When evaluating an answer choice for Reading Comprehension task, other answer choices available for the question and the answers of related questions about the same paragraph often…
Understanding Politics via Contextualized Discourse Processing
Rajkumar Pujari, Dan Goldwasser
Politicians often have underlying agendas when reacting to events. Arguments in contexts of various events reflect a fairly consistent set of agendas for a given entity. In spite o…