1 code implementation • 22 Oct 2023 • Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly
In this paper, we propose CLMSM, a domain-specific, continual pre-training framework, that learns from a large set of procedural recipes.
1 code implementation • 9 Jun 2023 • Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly
As the demand for sophisticated Natural Language Processing (NLP) models continues to grow, so does the need for efficient pre-training techniques.
1 code implementation • LREC 2022 • Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav, Roshni Kar
A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc.
no code implementations • 6 May 2022 • Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav
A law practitioner has to go through a lot of long legal case proceedings.
1 code implementation • EMNLP (ArgMining) 2021 • Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy
We present the system description for our submission towards the Key Point Analysis Shared Task at ArgMining 2021.
1 code implementation • Findings (EMNLP) 2021 • Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly
Answering questions asked from instructional corpora such as E-manuals, recipe books, etc., has been far less studied than open-domain factoid context-based question answering.
1 code implementation • SEMEVAL 2021 • Abhilash Nandy, Sayantan Adak, Tanurima Halder, Sai Mahesh Pokala
The main contribution of this paper is to fine-tune transformer-based language models pre-trained on several text corpora, some being general (E. g., Wikipedia, BooksCorpus), some being the corpora from which the CompLex Dataset was extracted, and others being from other specific domains such as Finance, Law, etc.
2 code implementations • 4 Jun 2021 • Abhilash Nandy, Sayantan Adak, Tanurima Halder, Sai Mahesh Pokala
This paper describes the performance of the team cs60075_team2 at SemEval 2021 Task 1 - Lexical Complexity Prediction.
1 code implementation • EACL (DravidianLangTech) 2021 • Kushal Kedia, Abhilash Nandy
The paper presents the submission of the team indicnlp@kgp to the EACL 2021 shared task "Offensive Language Identification in Dravidian Languages."
1 code implementation • 14 Feb 2021 • Kushal Kedia, Abhilash Nandy
The paper presents the submission of the team indicnlp@kgp to the EACL 2021 shared task "Offensive Language Identification in Dravidian Languages."
1 code implementation • 14 Dec 2020 • Abhilash Nandy, Chandan Kumar, Deepak Mewada, Soumya Sharma
In this report, we survey Bayesian Optimization methods focussed on the Multi-Armed Bandit Problem.
no code implementations • 24 Nov 2020 • Manish Agrawal, Abhilash Nandy
Music genre classification is one of the trending topics in regards to the current Music Information Retrieval (MIR) Research.
no code implementations • 28 Apr 2020 • Abhilash Nandy, Rachana Sathish, Debdoot Sheet
Various screening and diagnostic methods have led to a large reduction of cervical cancer death rates in developed countries.
1 code implementation • 5 Aug 2019 • Gopabandhu Hota, Abhilash Nandy, Kshitiz Goel, Dishank Yadav, Saumo Pal, Ankush Roy
Allergic Reactions can range from mild rashes to severe conditions, sometimes even leading to anaphylaxis and sudden death.
1 code implementation • 4 Jun 2019 • Shanka Subhra Mondal, Abhilash Nandy, Ritesh Agrawal, Debashis Sen
Many approaches such as Quine-McCluskey algorithm, Karnaugh map solving, Petrick's method and McBoole's method have been devised to simplify Boolean expressions in order to optimize hardware implementation of digital circuits.