KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
Learning Algorithms for Keyphrase Extraction
Information Retrieval
HLT '93 Proceedings of the workshop on Human Language Technology
An empirical study on class-based word sense disambiguation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
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Keyphrases are mainly words that capture the main topics of a document.We think that semantic classes can be used as keyphrases for a text. We have developed a semantic class-based WSD system that can tag the words of a text with their semantic class. A method is developed to compare the semantic classes of the words of a text with the correct ones based on statistical measures.We find that the evaluation of semantic classes considered as keyphrases is very close to 100% in most cases.