A New Approach to Detecting Semantic Novelty of Biomedical Publications using Embeddings of Large Language Models
Clone the repository and set up the environment:
git clone https://github.com/BIDS-Xu-Lab/SemNovel.git
cd SemNovel
pip install -r requirements.txt
SemNovel/
├── 1_dataset_prepare/ # Prepare datasets and pre-processing
├── 2_semantic_space/ # Construct semantic space from given papers
├── 3_semnovel/ # Calcuate SemNovel score
├── requirements.txt # Python dependencies
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