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Improved Automatic Keyword Extraction

by Given More Linguistic
"... In this paper, experiments on automatic extraction of keywords from abstracts using a supervised machine learning algorithm are discussed. The main point of this paper is that by adding linguistic knowledge to the representation (such as syntactic features), rather than relying only on statis ..."
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In this paper, experiments on automatic extraction of keywords from abstracts using a supervised machine learning algorithm are discussed. The main point of this paper is that by adding linguistic knowledge to the representation (such as syntactic features), rather than relying only

Automatic Keyword Extraction for Punjabi Language

by Vishal Gupta , Gurpreet Singh Lehal - International Journal of Computer Science Issues , 2011
"... Abstract Automatic keywords extraction is the task to identify a small set of words, key phrases, keywords, or key segments from a document that can describe the meaning of the document. ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
Abstract Automatic keywords extraction is the task to identify a small set of words, key phrases, keywords, or key segments from a document that can describe the meaning of the document.

Enhancing Linguistically Oriented Automatic Keyword Extraction

by unknown authors
"... This paper presents experiments on how the performance of automatic keyword extraction ..."
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This paper presents experiments on how the performance of automatic keyword extraction

Automatic keyword extraction for news finder

by J. L. Martínez-fernández, A. García-serrano, P. Martínez, J. Villena - Lecture Notes in Computer Science
"... Abstract. Newspapers are one of the most challenging domains for information retrieval systems: new articles appear everyday written in different languages, with multimedia contents and the news repositories may be updated in a matter of hours so information extraction is crucial to the metadata con ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
of the automatic keyword extraction (AKE) process for news characterization that uses several linguistic techniques to improve the current state of the text-based information retrieval 1. The first prototype implemented focusing in the AKE process (www.omnipaper.org) is described and some relevant performance

Automatic Keyword Extraction for Learning Object Repositories

by Kino High Coursey, Rada Mihalcea, William E. Moen
"... The paper describes experiments in metadata generation for learning object repositories. Specifically, we present several methods for automatic keyword extraction and evaluate them on a collection of learning objects from an undergraduate history course. The results suggest that automatic keyword ex ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
The paper describes experiments in metadata generation for learning object repositories. Specifically, we present several methods for automatic keyword extraction and evaluate them on a collection of learning objects from an undergraduate history course. The results suggest that automatic keyword

Automatic keyword extraction of chinese homepage for web understanding

by Wang Jhing-fa, Huang Chieh-yi - In ISCSLP98 , 1998
"... This paper proposes a method to extract keyword from Web pages automatically. The automatic keyword extraction technique is a very important part for the document and web understanding on ..."
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This paper proposes a method to extract keyword from Web pages automatically. The automatic keyword extraction technique is a very important part for the document and web understanding on

Automatic Keywords Extraction – a Basis for Content Recommendation

by Ivana Bosnić, Katrien Verbert, Erik Duval
"... Abstract. This paper describes a use case for an application that recommends learning objects for reuse and is integrated in the authoring environment. The recommendations are based on the automatic detection of content being authored and the context in which this resource is authored or used. The f ..."
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. The focus of the paper is automatic keyword extraction, evaluated as a starting point for content analysis. The evaluations explore whether automatic keyword extraction from content being authored is a sound basis for recommending relevant learning objects. The results show that automatically extracted

Automatic Keyword Extraction Using Domain Knowledge Anette

by Anette Hulth, Jussi Karlgren, Anna Jonsson, Henrik Bostrom , 2004
"... Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary source of knowledge about the document itself. By including a hierarchically organised domain specific thesaurus as a second knowledge source the quality of such keywor ..."
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Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary source of knowledge about the document itself. By including a hierarchically organised domain specific thesaurus as a second knowledge source the quality

Folksonomies versus automatic keyword extraction: An empirical study

by Hend S. Al-khalifa, Hugh C. Davis - IADIS International Journal On Computer Science And Information Systems (IJCSIS
"... Abstract. Semantic Metadata, which describes the meaning of documents, can be produced either manually or else semi-automatically using information extraction techniques. Manual techniques are expensive if they rely on skilled cataloguers, but a possible alternative is to make use of community produ ..."
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produced annotations such as those collected in folksonomies. This paper reports on an experiment that we carried out to validate the assumption that folksonomies carry more semantic value than keywords extracted by machines. The experiment has been carried-out in two ways: automatically, by measuring

1Automatic keyword extraction from individual documents

by Stuart Rose, Dave Engel, Nick Cramer, Wendy Cowley
"... which we define as a sequence of one or more words, provide a ..."
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which we define as a sequence of one or more words, provide a
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