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