EPIA '99 Proceedings of the 9th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Enhanced web document summarization using hyperlinks
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Identification of relevant terms to support the construction of domain ontologies
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
A Novel Partitioning-Based Clustering Method and Generic Document Summarization
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Using lexical chains for keyword extraction
Information Processing and Management: an International Journal
Enhancing linguistically oriented automatic keyword extraction
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Unsupervised approaches for automatic keyword extraction using meeting transcripts
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A Document Descriptor Extractor Based on Relevant Expressions
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
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Document keywords are associated to documents as summarized versions of the documents' content. Considering that the number of documents is quickly growing every day, the availability of these keywords is very important. Although, usually keywords are manually written. This motivated us to work on an approach to change this manual procedure for an automatic one. This paper presents a language independent approach that extracts the most relevant Multiword Expressions and single words from documents and propose them to describe the core content of each document.