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Found 6 papers, 4 papers with code
Punctuation Restoration using Transformer Models for High-and Low-Resource Languages
In this work, we explore different transformer based models and propose an augmentation strategy for this task, focusing on high-resource (English) and low-resource (Bangla) languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
This is the first dataset of its kind: social media images, disaster response, and multi-task learning research.
A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models
In this study, we first provide a review of Bangla NLP tasks, resources, and tools available to the research community; we benchmark datasets collected from various platforms for nine NLP tasks using current state-of-the-art algorithms (i. e., transformer-based models).
Robust Training of Social Media Image Classification Models for Rapid Disaster Response
Images shared on social media help crisis managers gain situational awareness and assess incurred damages, among other response tasks.
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
In this study, we propose new datasets for disaster type detection, and informativeness classification, and damage severity assessment.
Bangla Text Classification using Transformers
Text classification has been one of the earliest problems in NLP.
