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Code for CIKM 2022 paper "A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space".

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MySong7NLPer/HyperSiameseNet

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HyperSiameseNet

This repository provides the code of the paper A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space (CIKM2022).

😄 The new version of our paper(corrected some errors in the published version) 😉.

Dependencies

  • 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.

CONTACT

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: mingyang.song@bjtu.edu.cn

Our implementation is built on the source code from MatchSum. Thanks for their work.

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Code for CIKM 2022 paper "A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space".

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