This repository provides the code of the paper HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization (WWW2023).
- Python 3.7
- PyTorch 1.4.0
- fastNLP 0.5.0
- pyrouge 0.1.3
- You should fill your ROUGE path in metrics.py line 20 before running our code.
- rouge 1.0.0
- Used in the validation phase.
- transformers 2.5.1
All code only supports running on Linux.
For any question, feel free to create an issue, and we will try our best to solve.
If the problem is more urgent, you can send an email to me at the same time (I check email almost everyday).
NAME: Mingyang Song
EMAIL: [email protected]
Our implementation is built on the source code from MatchSum. Thanks for their work.