- author = "Marko Bekavac and Jan Snajder",
- title = "GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts",
- booktitle = "Proceedings of the 4th Biennial International Workshop on Balto-Slavic Natural Language Processing",
- year = "2013",
- editor = "Jakub Piskorski and Lidia Pivovarova and Hristo Tanev and Roman Yangarber",
- pages = "43--47",
- address = "Sofia, Bulgaria",
- publisher_address = "209 N. Eighth Street Stroudsburg, PA 18360 USA Tel: +1-570-476-8006 Fax: +1-570-476-0860 acl@aclweb.org",
- month = "8-9 " # aug,
- publisher = "Association for Computational Linguistics",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-937284-59-6",
- language = "en",
- oai = "oai:CiteSeerX.psu:10.1.1.397.588",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.397.588",
-
URL = "http://www.aclweb.org/anthology/W13-2407",
-
URL = "
http://www.aclweb.org/anthology/W13-2407.pdf",
- size = "5 pages",
- abstract = "We describe GPKEX, a key-phrase extraction method based on genetic programming. We represent Keyphrase scoring measures as syntax trees and evolve them to produce rankings for key phrase candidates extracted from text. We apply and evaluate GPKEX on Croatian newspaper articles. We show that GPKEX can evolve simple and interpretable key-phrase scoring measures that perform comparably to more complex machine learning methods previously developed for Croatian.",
-
notes = "The annotated dataset is available under CC BY-NC-SA
license from http://takelab.fer.hr/gpkex
ACL 2013 http://www.aclweb.org/anthology/W/W13/#2400
",
