Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2013
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| _version_ | 1876468279641374720 |
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| author | Gábor Berend |
| author_facet | Gábor Berend |
| contents | Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction Gábor Berend Richárd Farkas Computación Multi knowledge management information retrieval document keyphrase extraction Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and thematically related subsets of some corpora if the automatically determined sets of keyphrases for the individual documents of an entire corpus are identified first. The sets of keyphrases assigned by our proposed method for the workshops present in the ACL Anthology Corpus over a 6-year period were considered better in more than 60% of the test cases compared to our baseline system when evaluated against an aggregation of different human judgements. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437008 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| format | Artículo científico |
| id | redalyc_61527437008 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction Gábor Berend Computación Multi knowledge management information retrieval document keyphrase extraction Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction Gábor Berend Richárd Farkas Computación Multi knowledge management information retrieval document keyphrase extraction Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and thematically related subsets of some corpora if the automatically determined sets of keyphrases for the individual documents of an entire corpus are identified first. The sets of keyphrases assigned by our proposed method for the workshops present in the ACL Anthology Corpus over a 6-year period were considered better in more than 60% of the test cases compared to our baseline system when evaluated against an aggregation of different human judgements. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437008 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| title | Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction |
| topic | Computación Multi knowledge management information retrieval document keyphrase extraction |
| url | https://www.redalyc.org/articulo.oa?id=61527437008 |