Fact Check

This repository contains the code for the final projct of the subject Natural Language Processing COMP90042 2023

Setup

1. Project dependencies are managed using poetry, run poetry command bellow to install dependencies:

poetry install

2. All parameters for the models, training, and predicting are stored in config files at src/config/
3. You can run the models by:
   • executing src/retriever.py and src/classify.py files

   python src/retriever.py
   python src/classify.py

   • go through the notebooks in notebooks/ (uncompleted)

References

• Dense Passage Retrieval for Open-Domain Question Answering
• Deep Learning in Information Retrieval. Part II: Dense Retrieval
• A friendly introduction to Siamese Networks
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• Pre-training Methods in Information Retrieval
• SimCSE: Simple Contrastive Learning of Sentence Embeddings
• RoBERTa: A Robustly Optimized BERT Pretraining Approach