Publications

[Google Scholar] (* Equal Contribution)

2022

• Leveraging Pre-trained Language Models for Stance And Premise Classification
  Millon Madhur Das, Archit Mangrulkar, Ishan Manchanda, Manav Nitin Kapadnis, and Sohan Patnaik.
  the 7th Social Media Mining for Health Applications (#SMM4H) workshop at COLING 2022.
  [Paper] [Code]

• An Evaluation Framework for Legal Document Summarization
  Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav, and Roshni Kar.
  In the 13th Edition of its Language Resources and Evaluation Conference (LREC 2022).
  [Paper] [Code]

• Alzheimer’s disease detection using artificial intelligence
  Abdulhamit Subasi, Manav Nitin Kapadnis, and Ayse Kosal Bulbul.
  Book - Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence
  [Paper] [Code]

• Fine-grained Intent Classification in the Legal Domain
  Ankan Mullick*, Abhilash Nandy*, Manav Nitin Kapadnis*, Sohan Patnaik, and R Raghav.
  In the Scientific Document Understanding workshop in Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022).
  [Paper] [Code will be made available soon.]

2021

• Leveraging Pre-trained Language Models for Key Point Matching
  Manav Nitin Kapadnis*, Sohan Patnaik*, Siba Smarak Panigrahi*, Varun Madhavan*, and Abhilash Nandy.
  In the 8th workshop on Argument Mining at Empirical Methods in Natural Language Processing (EMNLP), 2021.
  [Paper] [Code] [Poster]

• CoCoTiNe : Compositional Committees of Tiny Networks
  Goh Howe Seng, Tomas Maul, and Manav Nitin Kapadnis.
  In the 28th International Conference on Neural Information Processing (ICONIP 2021).
  [Paper] [Code]