| Download | - View accepted manuscript: Keyphrase Extraction: Enhancing Lists (PDF, 232 KiB)
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| Author | Search for: Barrière, Caroline; Search for: Jarmasz, Mario |
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| Format | Text, Article |
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| Conference | Computational Linguistic in the North-East (CLINE'2004), August 30, 2004, Montréal, Québec, Canada |
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| Subject | keyphrase extraction; clustering; semantic similarity; corpus linguistics; keyphrase evaluation |
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| Abstract | This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extraction system, by using a terabyte-sized corpus to estimate the informativeness and semantic similarity of keyphrases. We present two techniques to improve the organization and remove outliers of lists of keyphrases. The first is a simple ordering according to their occurrences in the corpus; the second is clustering according to semantic similarity. Evaluation issues are discussed. We present a novel technique of comparing extracted keyphrases to a gold standard which relies on semantic similarity rather than string matching or an evaluation involving human judges. |
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| Publication date | 2004 |
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| In | |
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| Language | English |
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| NRC number | NRCC 48079 |
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| NPARC number | 5765134 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | bbdcb1d3-d36b-4f4f-9f56-2a613f0f4310 |
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| Record created | 2009-03-29 |
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| Record modified | 2021-01-05 |
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