no code implementations • Findings (NAACL) 2022 • Bornali Phukon, Anasua Mitra, Ranbir Sanasam, Priyankoo Sarmah
In a taxonomy like WordNet, both merge and attach are integral parts of the expansion operations but majority of study consider them separately.
no code implementations • EMNLP 2020 • Loitongbam Gyanendro Singh, Anasua Mitra, Sanasam Ranbir Singh
Sentiment classification on tweets often needs to deal with the problems of under-specificity, noise, and multilingual content.
1 code implementation • 5 Oct 2021 • Anasua Mitra, Priyesh Vijayan, Ranbir Sanasam, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
Multiplex networks are complex graph structures in which a set of entities are connected to each other via multiple types of relations, each relation representing a distinct layer.
1 code implementation • Proceedings of the 2020 SIAM International Conference on Data Mining 2020 • Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran
We propose a Semi-Supervised Learning (SSL) methodology that explicitly encodes different necessary priors to learn efficient representations for nodes in a network.
1 code implementation • 2 May 2019 • Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
An important area of research that has emerged over the last decade is the use of graphs as a vehicle for non-linear dimensionality reduction in a manner akin to previous efforts based on manifold learning with uses for downstream database processing, machine learning and visualization.