SciPrompt

The official repository of our EMNLP 2024 Main conference paper: SciPrompt: Knowledge-augmented Prompting for Fine-grainedCategorization of Scientific Topics

Fine-tuned filtering model: Google Drive

Overall Framework

Installation

To install the necessary Python packages, run the following command:

conda create -n SciPrompt python=3.8.12
pip install -r requirements.txt

Prepare the Required Files and Directories

• Replace the placeholder paths in the script with actual paths to your data and configuration files:
  • --data_dir should point to your data directory
  • --verbalizer_path should point to your arXiv_knowledgable_verbalizer.txt
  • --semantic_score_path should point to your arXiv_knowledgable_verbalizer_semantic_search_scores.txt
  • --doc_id_path should point to your doc_id.txt
  • --config_path should point to config/arxiv_label_mappings.json

Run the main script:

• Execute scripts for each dataset:

bash run_arxiv.sh
bash run_s2orc.sh
bash run_sdpra.sh

Note: Please modify the required data file paths inside each script before running.

Citation Information

@inproceedings{you-etal-2024-sciprompt,
    title = "{S}ci{P}rompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics",
    author = "You, Zhiwen  and
      Han, Kanyao  and
      Zhu, Haotian  and
      Ludaescher, Bertram  and
      Diesner, Jana",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-main.350",
    pages = "6087--6104",
}