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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International Conference on Digital Libraries: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries; 11-15 June 2006 s. 296 - 297
Hlavní autoři: Medelyan, Olena, Witten, Ian H.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 11.06.2006
IEEE
ACM Press
Edice:ACM Conferences
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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 professional indexers.
Bibliografie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:1595933549
9781595933546
DOI:10.1145/1141753.1141819