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A Typology of Semantic Relations Dedicated to Scientific Literature Analysis
Abstract : We propose a method for improving access to scientific literature by analyzing the content of research papers beyond citation links and topic tracking. Our model relies on a typology of explicit semantic relations. These relations are instantiated in the abstract/introduction part of the papers and can be identified automatically using textual data and external ontologies. Preliminary results show a promising precision in unsupervised relationship classification.
Cited literature [18 references]
https://hal.inria.fr/hal-01404983
Contributor : Kata Gabor <>
Submitted on : Tuesday, November 29, 2016 - 2:01:56 PM
Last modification on : Tuesday, September 22, 2020 - 3:47:21 AM
Long-term archiving on: : Monday, March 27, 2017 - 6:42:57 AM
Contributor : Kata Gabor <>
Submitted on : Tuesday, November 29, 2016 - 2:01:56 PM
Last modification on : Tuesday, September 22, 2020 - 3:47:21 AM
Long-term archiving on: : Monday, March 27, 2017 - 6:42:57 AM
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gabor-savesd2016.pdf
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