81 citations · 82 across the 6 of their papers we have counts for
10 papers · 1 filter
Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding
Hemanth Kotaprolu, Kishan Maharaj, Raey Zhao +2
Understanding emotions in natural language is inherently a multi-dimensional reasoning problem, where multiple affective signals interact through context, interpersonal relations,…
Understand the Implication: Learning to Think for Pragmatic Understanding
Settaluri Lakshmi Sravanthi, Kishan Maharaj, Sravani Gunnu +2
Pragmatics, the ability to infer meaning beyond literal interpretation, is crucial for social cognition and communication. While LLMs have been benchmarked for their pragmatic unde…
A Survey on Using Gaze Behaviour for Natural Language Processing
Sandeep Mathias, Diptesh Kanojia, Abhijit Mishra +1
Gaze behaviour has been used as a way to gather cognitive information for a number of years. In this paper, we discuss the use of gaze behaviour in solving different tasks in natur…
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour
Sandeep Mathias, Rudra Murthy, Diptesh Kanojia +2
The gaze behaviour of a reader is helpful in solving several NLP tasks such as automatic essay grading. However, collecting gaze behaviour from readers is costly in terms of time a…
Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour
Sandeep Mathias, Diptesh Kanojia, Kevin Patel +3
Predicting a reader's rating of text quality is a challenging task that involves estimating different subjective aspects of the text, like structure, clarity, etc. Such subjective…
Unsupervised Neural Text Simplification
Sai Surya, Abhijit Mishra, Anirban Laha +2
The paper presents a first attempt towards unsupervised neural text simplification that relies only on unlabeled text corpora. The core framework is composed of a shared encoder an…