GPKEX is a keyphrase extraction method based on genetic
programming. GKPEX represents keyphrase scoring measures as syntax
trees and evolves them to produce rankings for keyphrase candidates
extracted from text. GPKEX can evolve simple and interpretable
keyphrase scoring measures that perform comparably to more
complex machine learning methods. For details, please refer to the
paper:
Marko Bekavac and Jan Ć najder (2013). GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts. Proceedings of the 4th Biennial International Workshop on Balto-Slavic Natural Language Processing (BNLP 2013), Sofia, ACL, 2013, 43-47. [pdf]
If you use GPKEX or the associated datasets, please cite the paper. The BibTeX citation is:
@InProceedings{bekavac2013gpkex,
title={GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts},
author={Bekavac, Marko and {\v S}najder, Jan},
booktitle={4th Biennial International Workshop on Balto-Slavic Natural Language Processing},
year={2013},
pages={in press}
}
The manually annotated dataset used for the evaluation experiments is available from here.