Extraction of Keyphrases from Text: Evaluation of Four Algorithms
P. Turney. ERB-1051. National Research Council of Canada, (1997)
Abstract
This report presents an empirical evaluation of four algorithms for automatically extracting keywords keyphrases from documents. The four algorithms are compared using five different collections of documents. For each document, we have a target set of keyphrases, which were generated by hand. The target keyphrases were generated for human readers; they were not tailored for any of the four keyphrase extraction algorithms. Each of the algorithms was evaluated by the degree to which the...
%0 Report
%1 Turney:1997
%A Turney, Peter
%D 1997
%K inf_retrieval evaluation
%N ERB-1051
%T Extraction of Keyphrases from Text: Evaluation of Four Algorithms
%U http://members.rogers.com/peter.turney/ml_text_keys.html
%X This report presents an empirical evaluation of four algorithms for automatically extracting keywords keyphrases from documents. The four algorithms are compared using five different collections of documents. For each document, we have a target set of keyphrases, which were generated by hand. The target keyphrases were generated for human readers; they were not tailored for any of the four keyphrase extraction algorithms. Each of the algorithms was evaluated by the degree to which the...
@techreport{Turney:1997,
abstract = {This report presents an empirical evaluation of four algorithms for automatically extracting keywords keyphrases from documents. The four algorithms are compared using five different collections of documents. For each document, we have a target set of keyphrases, which were generated by hand. The target keyphrases were generated for human readers; they were not tailored for any of the four keyphrase extraction algorithms. Each of the algorithms was evaluated by the degree to which the...},
added-at = {2007-12-14T02:47:27.000+0100},
author = {Turney, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2d542f2135662a9d19701681af401bceb/diego_ma},
institution = {National Research Council of Canada},
interhash = {86b25c7a95b2d5da08118bc1e34e650e},
intrahash = {d542f2135662a9d19701681af401bceb},
keywords = {inf_retrieval evaluation},
number = {ERB-1051},
timestamp = {2007-12-14T02:47:27.000+0100},
title = {Extraction of Keyphrases from Text: Evaluation of Four Algorithms},
url = {http://members.rogers.com/peter.turney/ml_text_keys.html},
year = 1997
}