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.
Domains
Computer Science [cs]
Origin : Files produced by the author(s)
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