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Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3

This repository reproduces our work on automatic quality assesment of automatically generated German summaries.

Installation

It can be installed in development mode with:

   $ git clone https://github.com/fraunhofer-iais/hybrid_summarization_eval.git
   $ cd hybrid_summarization_eval
   $ pip install -e .

The -e dynamically links the code in the git repository to the Python site-packages so your changes get reflected immediately.

How to use

The results obtained for the shared task can be reproduced by executing the script:

   $ python src/konvens2020_summarization/run_pipeline.py

Citation

If you find our software useful in your work, please consider citing:

[1] Biesner, D., et al.: Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3.

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Fraunhofer IAIS submission to the second German Text Summarization Challenge on automatic quality assesment of German text Summarizations

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