Thesaurus based automatic keyphrase indexing

We propose a new method that enhances automatic keyphrase extraction by using semantic information on terms and phrases gleaned from a domain-specific thesaurus. We evaluate the results against keyphrase sets assigned by a state-of-the-art keyphrase extraction system and those assigned by six profes...

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Veröffentlicht in:	International Conference on Digital Libraries: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries; 11-15 June 2006 S. 296 - 297
Hauptverfasser:	Medelyan, Olena, Witten, Ian H.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 11.06.2006 IEEE ACM Press
Schriftenreihe:	ACM Conferences
Schlagworte:	automatic indexing Computer science Computing methodologies > Artificial intelligence > Natural language processing Data mining Exact sciences and technology Filtering Information and communication sciences Information science. Documentation Information systems > Information retrieval > Document representation Information systems > Information retrieval > Document representation > Content analysis and feature selection Information systems > Information retrieval > Document representation > Thesauri Information systems > Information retrieval > Search engine architectures and scalability > Search engine indexing keyphrase assignment keyphrase extraction Library and information science. General aspects machine aided indexing Machine assisted indexing Machine learning Machine learning algorithms Sciences and techniques of general use Sorting Thesauri Use and user studies. Information needs Vocabulary White spaces keyphrase extraction keyphrase assignment automatic indexing machine aided indexing Evaluation State of the art Thesaurus Automatic indexing Method Result Automatic processing
ISBN:	1595933549, 9781595933546
Online-Zugang:	Volltext
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