BRUMS approach for SemEval-2020 Task 3

Python 3.7 implementation
Used packages are listed in requirements.txt

The main experiment flow is writen in experiment.py
The package breakdown is as follows;

• data_processing - basic data pre-processing techniques and our approach to improve known data rate by named entities
• embedding_support - all embedding generation techniques including baseline embeddings, stacked embeddings and average embeddings
• evaluation - evaluation scripts released by task organisers
• experiments - set-up to conduct experiments