C4.5: programs for machine learning
C4.5: programs for machine learning
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Machine Learning
Automatic condensation of electronic publications by sentence selection
Information Processing and Management: an International Journal - Special issue: summarizing text
Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Journal of the American Society for Information Science and Technology
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Domain-Specific Keyphrase Extraction
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Using Wikipedia concepts and frequency in language to extract key terms from support documents
Expert Systems with Applications: An International Journal
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Keyphrases extracted from documents may save precious time for tasks such as filtering, summarization, and categorization. A few such systems are available for documents written in English. In this paper, we propose a model called LEH_KEY (Learning to Extract Hebrew KEYphrases) that for the first time learns to extract keyphrases for documents written in Hebrew. Firstly, we introduce a relatively high number (15) of baseline extraction methods as opposed to other related systems that use combinations of a low number (two/three) of baseline extraction methods. In contrast, we have investigated various combinations of larger number of baseline methods and various machine learning methods have been tested. The best results have been achieved by a combination of six baseline methods using J48 (an improved variant of C4.5). Our results have been found to be at least of equal quality to those achieved by extraction systems for documents written in English, which are regarded as state-of-the art.