Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification

no code implementations • 6 Mar 2022 • Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar

To overcome these challenges, we propose a multilingual disaster related text classification system which is capable to work under \{mono, cross and multi\} lingual scenarios and under limited supervision.

Multilingual text classification text-classification +1

Supervised Graph Contrastive Pretraining for Text Classification

no code implementations • 21 Dec 2021 • Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar

In this paper, we propose a novel way to effectively utilize labeled data from related tasks with a graph based supervised contrastive learning approach.

Contrastive Learning Knowledge Distillation +2

Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management

no code implementations • 3 Apr 2021 • Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar

To handle this challenge, we utilize limited labeled data along with abundantly available unlabeled data, generated during a source disaster to propose a novel two-part graph neural network.

Management Multi-Label Classification +1