1 code implementation • COLING (TextGraphs) 2020 • Aditya Girish Pawate, Varun Madhavan, Devansh Chandak
In this work, we describe the system developed by a group of undergraduates from the Indian Institutes of Technology for the Shared Task at TextGraphs-14 on Multi-Hop Inference Explanation Regeneration (Jansen and Ustalov, 2020).
1 code implementation • 9 Oct 2021 • Varun Madhavan, Aditya Girish Pawate, Shraman Pal, Abhranil Chandra
Cognitively inspired Natural Language Pro-cessing uses human-derived behavioral datalike eye-tracking data, which reflect the seman-tic representations of language in the humanbrain to augment the neural nets to solve arange of tasks spanning syntax and semanticswith the aim of teaching machines about lan-guage processing mechanisms.