SZTERGAK Feature Engineering for Keyphrase Extraction /
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 f...
Elmentve itt :
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| Dokumentumtípus: | Könyv része |
| Megjelent: |
ACL
Cambridge MA
2010
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| Sorozat: | Proceedings of SemEval-2010
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| mtmt: | 1437539 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/7733 |
| Tartalmi kivonat: | 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%. |
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| Terjedelem/Fizikai jellemzők: | 186-189 |
| ISBN: | 978-1-932432-70-1 |