no code implementations • ACL (CASE) 2021 • Nitin Ramrakhiyani, Swapnil Hingmire, Sangameshwar Patil, Alok Kumar, Girish Palshikar
Incidents in industries have huge social and political impact and minimizing the consequent damage has been a high priority.
no code implementations • WS 2020 • Swapnil Hingmire, Nitin Ramrakhiyani, Avinash Kumar Singh, Sangameshwar Patil, Girish Palshikar, Pushpak Bhattacharyya, Vasudeva Varma
In this paper, we propose the use of Message Sequence Charts (MSC) as a representation for visualizing narrative text in Hindi.
no code implementations • NAACL 2019 • Girish Palshikar, Nitin Ramrakhiyani, Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Vasudeva Varma, Pushpak Bhattacharyya
We apply this tool to extract MSCs from several real-life software use-case descriptions and show that it performs better than the existing techniques.
no code implementations • WS 2019 • Girish Palshikar, Sachin Pawar, Sangameshwar Patil, Swapnil Hingmire, Nitin Ramrakhiyani, Harsimran Bedi, Pushpak Bhattacharyya, Vasudeva Varma
In this paper, we advocate the use of Message Sequence Chart (MSC) as a knowledge representation to capture and visualize multi-actor interactions and their temporal ordering.
no code implementations • 14 Feb 2018 • Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar
Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care.
no code implementations • 14 Feb 2018 • Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar
Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care.
no code implementations • 4 Dec 2017 • Sachin Pawar, Nitin Ramrakhiyani, Swapnil Hingmire, Girish K. Palshikar
We propose a Label Propagation based algorithm for weakly supervised text classification.
no code implementations • 4 Dec 2017 • Girish Keshav Palshikar, Sachin Pawar, Saheb Chourasia, Nitin Ramrakhiyani
All techniques are illustrated using a real-life dataset of supervisor assessment and peer feedback text produced during the PA of 4528 employees in a large multi-national IT company.
no code implementations • 6 Sep 2017 • Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Palshikar, Vasudeva Varma
Current methods in ADR mention extraction relies on supervised learning methods, which suffers from labeled data scarcity problem.
no code implementations • EACL 2017 • Nitin Ramrakhiyani, Sachin Pawar, Swapnil Hingmire, Girish Palshikar
Measuring topic quality is essential for scoring the learned topics and their subsequent use in Information Retrieval and Text classification.