01268naa a2200205 i 4500 publ7733 20190923172823.0 160824s2010 hu o 0|| zxx d 978-1-932432-70-1 1437539 mtmt SZTE Publicatio Repozitórium hun zxx Berend Gábor SZTERGAK [elektronikus dokumentum] : Feature Engineering for Keyphrase Extraction / Berend Gábor ACL Cambridge MA 2010 186-189 Proceedings of SemEval-2010 Automatically assigning keyphrases to documents has a great variety of applications. Here we focus on the keyphrase extraction of scientific publications and present a novel set of features for the supervised learning of keyphraseness. Although these features are intended for extracting keyphrases from scientific papers, because of their generality and robustness, they should have uses in other domains as well. With the help of these features SZTERGAK achieved top results on the SemEval-2 shared task on Automatic Keyphrase Extraction from Scientific Articles and exceeded its baseline by 10%. Farkas Richárd aut http://publicatio.bibl.u-szeged.hu/7733/1/S10_1040_u.pdf Dokumentum-elérés