GitHub - Yeom/PPScore: Unsupervised-learning-based Keyphrase Extraction from a Single Document by the Effective Combination of the Graph-based Model and the Modified C-value Method

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Unsupervised-learning-based Keyphrase Extraction from a Single Document by the Effective Combination of the Graph-based Model and the Modified C-value Method

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Name		Name	Last commit message	Last commit date
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data/SemEval2010		data/SemEval2010
.gitignore		.gitignore
Cvalue.py		Cvalue.py
Graph.py		Graph.py
PPScore.py		PPScore.py
Pattern.py		Pattern.py
README		README
config.ini		config.ini
main.py		main.py
position		position

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# Unsupervised-learning-based Keyphrase Extraction from a Single Document by the Effective Combination of the Graph-based Model and the Modified C-value Method

Code for the paper "Unsupervised-learning-based Keyphrase Extraction from a Single Document by the Effective Combination of the Graph-based Model and the Modified C-value Method" (Computer Speech & Language 58 · May 2019)

- Graph Model is based on TextRank
- C-Value

[Run]
python main.py --config config.ini

[Config]
- JSON Format
- [data][path] : Path of input files.(POS Tagged file)
- [data][extension] : Extension of input files
- [data][position] : position information file
- [data][name] : dataset name(SemEval2010 / Inspec)
- [data][output] : Path of output file
- [window] : window size
- [alpha] : A value of alpha
- [beta] : A value of beta

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Unsupervised-learning-based Keyphrase Extraction from a Single Document by the Effective Combination of the Graph-based Model and the Modified C-value Method

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