KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Automating Keyphrase Extraction with Multi-Objective Genetic Algorithms
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Automatic keyphrase extraction from scientific documents using N-gram filtration technique
Proceedings of the eighth ACM symposium on Document engineering
Domain-specific keyphrase extraction
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Coherent keyphrase extraction via web mining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Re-examining automatic keyphrase extraction approaches in scientific articles
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
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
Automatic keyphrase extraction from scientific articles
Language Resources and Evaluation
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In this paper we present a chunk based keyphrase extraction method for scientific articles. Different from most previous systems, supervised machine learning algorithms are not used in our system. Instead, document structure information is used to remove unimportant contents; Chunk extraction and filtering is used to reduce the quantity of candidates; Keywords are used to filter the candidates before generating final keyphrases. Our experimental results on test data show that the method works better than the baseline systems and is comparable with other known algorithms.