gaze tracking

Cognition-aware Cognate Detection

Automatic detection of cognates helps downstream NLP tasks of Machine Translation, Cross-lingual Information Retrieval, Computational Phylogenetics and Cross-lingual Named Entity Recognition. Previous approaches for the task of cognate detection use …

A Survey on Using Gaze Behaviour for Natural Language Processing

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 natural language processing (NLP) without having to record it at test time. …

Cognitively Aided Zero-Shot Automatic Essay Grading

Automatic essay grading (AEG) is a process in which machines assign a grade to an essay written in response to a topic, called the prompt. Zero-shot AEG is when we train a system to grade essays written to a new prompt which was not present in our …

Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour

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 and money. In this paper, we propose a way to improve automatic essay …

Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour

New Vistas to study Bhartṛhari: Cognitive NLP

A sentence is an important notion in the Indian grammatical tradition. The collection of the definitions of a sentence can be found in the text ‘Vākyapadīya’ written by Bhartṛhari in fifth century C.E. The grammarian-philosopher Bhartṛhari and his …

Scanpath Complexity: Modeling Reading Effort using Gaze Information

Harnessing Cognitive Features for Sarcasm Detection

Leveraging Cognitive Features for Sentiment Analysis

Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior