KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Domain-specific keyphrase extraction
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Clustering to find exemplar terms for keyphrase extraction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Keyphrase extraction in scientific publications
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
SemEval-2010 task 5: Automatic keyphrase extraction from scientific articles
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Automatic keyphrase extraction from scientific articles
Language Resources and Evaluation
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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%.