KP-Miner: Participation in SemEval-2

Authors:
Samhaa R. El-Beltagy;Ahmed Rafea
Affiliations:
Cairo University, Giza, Egypt;The American University in Cairo, New Cairo, Egypt
Venue:
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Year:
2010

Citing 2
Cited 1

Term-weighting approaches in automatic text retrieval

Information Processing and Management: an International Journal
KP-Miner: A keyphrase extraction system for English and Arabic documents

Information Systems

Automatic keyphrase extraction from scientific articles

Language Resources and Evaluation

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Abstract

This paper briefly describes the KP-Miner system which is a system developed for the extraction of keyphrases from English and Arabic documents, irrespective of their nature. The paper also outlines the performance of the system in the "Automatic Keyphrase Extraction from Scientific Articles" task which is part of SemEval-2.