KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
Using Noun Phrase Heads to Extract Document Keyphrases
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
A language model approach to keyphrase extraction
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Thesaurus based automatic keyphrase indexing
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Coherent keyphrase extraction via web mining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Automatic keyphrase extraction from scientific articles
Language Resources and Evaluation
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The UvT system is based on a hybrid, linguistic and statistical approach, originally proposed for the recognition of multiword terminological phrases, the C-value method (Frantzi et al., 2000). In the UvT implementation, we use an extended noun phrase rule set and take into consideration orthographic and morphological variation, term abbreviations and acronyms, and basic document structure information.