The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
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
Journal of the American Society for Information Science and Technology
Automatic keyphrase extraction from scientific articles
Language Resources and Evaluation
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We present a system description of the WINGNUS team work for the SemEval-2010 task #5 Automatic Keyphrase Extraction from Scientific Articles. A key feature of our system is that it utilizes an inferred document logical structure in our candidate identification process, to limit the number of phrases in the candidate list, while maintaining its coverage of important phrases. Our top performing system achieves an F1 of 25.22% for the combined keyphrases (author and reader assigned) in the final test data. We note that the method we report here is novel and orthogonal from other systems, so it can be combined with other techniques to potentially achieve higher performance.