270 citations
- Indian Institute of Technology BombayIN48 papers
- Monash UniversityAU44 papers
- Australian Regenerative Medicine InstituteAU3 papers
- Canadian Institute for Advanced ResearchCA3 papers
- Max Planck Institute for Polymer ResearchDE3 papers
- University College LondonGB3 papers
- Wellcome Centre for Human NeuroimagingGB3 papers
- RMIT UniversityAU2 papers
- Swinburne University of TechnologyAU2 papers
- The University of MelbourneAU2 papers
- ARC Centre of Excellence in Advanced Molecular ImagingAU1 paper
- ARC Centre of Excellence in Future Low-Energy Electronics TechnologiesAU1 paper
4 papers · 1 filter
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…
Automating Reading Comprehension by Generating Question and Answer Pairs
Vishwajeet Kumar, Kireeti Boorla, Yogesh Meena +2
Neural network-based methods represent the state-of-the-art in question generation from text. Existing work focuses on generating only questions from text without concerning itself…
Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments
Geetanjali Rakshit, Sagar Sontakke, Pushpak Bhattacharyya +1
In this paper, we attempt to solve the problem of Prepositional Phrase (PP) attachments in English. The motivation for the work comes from NLP applications like Machine Translation…
Automatic Sarcasm Detection: A Survey
Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-b…