no code implementations • ICON 2021 • Kunal Pagarey, Kanika Kalra, Abhay Garg, Saumajit Saha, Mayur Patidar, Shirish Karande
We explore the ability of pre-trained language models BART, an encoder-decoder model, GPT2 and GPT-Neo, both decoder-only models for generating sentences from structured MR tags as input.
no code implementations • ICON 2021 • Saumajit Saha, Kanika Kalra, Manasi Patwardhan, Shirish Karande
We consider the task of automatically classifying the persuasion strategy employed by an utterance in a dialog.
no code implementations • 16 Mar 2023 • Ankita Sontakke, Kanika Kalra, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Shrishti Pradhan
In this paper, we focus on transferring the knowledge acquired by the code-to-pseudocode neural model trained on a high resource PL (C++) using parallel code-pseudocode data.
no code implementations • ACL 2020 • Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan, Kar, Shirish e
This achieves an accuracy of 89. 69{\%}, which is an improvement of 4. 7{\%}.
no code implementations • 8 Sep 2016 • Anand Sriraman, Mandar Kulkarni, Rahul Kumar, Kanika Kalra, Purushotam Radadia, Shirish Karande
We present an end-to-end machine-human image annotation system where each component can be attached in a plug-and-play fashion.