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The folders description: 1. Consists of experiments developed with the complete dataset of papers, using the full text of each paper. The key phrase extraction methods experimented here are: (1) Centrality Measures - Degree, Strength, Closeness, PageRank, Betweenness. (2) Statistics Measures - TF, TF-IDF. 2. Consists of experiments developed with the complete dataset of papers, using exclusively the abstract of each paper. The key phrase extraction methods experimented here are: (1) Centrality Measures - Degree, Strength, Closeness, PageRank, Betweenness. (2) Statistics Measures - TF, TF-IDF. The dataset description: 1. Download from: http://disi.unitn.it/~krapivin/ 2. Consists of pairs of files, <id>.txt with full text, <id>.key with keyphrases each on a new line. 3. There is the file "!authors.dat" inside the archive, it contains all authors for all papers. 4. How to cite? Use the bibtex: @TECHREPORT{key:dataset2009krapivin-autayeu-marchese, AUTHOR = {Mikalai Krapivin and Aliaksandr Autayeu and Maurizio Marchese}, TITLE = {Large Dataset for Keyphrases Extraction}, INSTITUTION = {DISI, Trento, Italy}, YEAR = {2008}, month = {May}, number = {DISI-09-055}, note = {http://eprints.biblio.unitn.it/archive/00001671/01/disi09055-krapivin-autayeu-marchese.pdf}, url = {\url{http://eprints.biblio.unitn.it/archive/00001671/01/disi09055-krapivin-autayeu-marchese.pdf}} }
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Key-phrase extraction for research publications using graph-representation of texts and centrality measures
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