2009
DOI: 10.1007/978-90-481-3331-4_1
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Different Views on Markup

Abstract: A bstract In this chapter, two different ways of grouping information represented in document markup are examined: annotation levels, referring to conceptual levels of description, and annotation layers, referring to the technical realisation of markup using e.g. document grammars. In many current XML annotation projects, multiple levels are integrated into one layer, often leading to the problem of having to deal with overlapping hierarchies. As a solution, we propose a framework for XML-based multiple, indep… Show more

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Cited by 7 publications
(1 citation statement)
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“…A predominant theory that guides the annotation scheme for discourse structure is the Rhetorical Structure Theory (RST), while discourse relations rely on Penn Discourse Treebank (PDTB). The OLiA discourse extensions build on earlier ontologies for discourse phenomena such as SemDok [8], an ontology of discourse relations used in a natural language generation system, and the Discourse Community of Practice Extensions [107] of the GOLD ontology [89], as well as on other efforts to standardize discourse annotation schemas that originally used XML or domain-specific formats to model their taxonomies [32,127]. The work on discourse annotation schemas stimulated the initiative on researching speaker attitude detection relaying on attitudinal discourse marker identification in the multilingual data.…”
Section: Pragmaticsmentioning
confidence: 99%
“…A predominant theory that guides the annotation scheme for discourse structure is the Rhetorical Structure Theory (RST), while discourse relations rely on Penn Discourse Treebank (PDTB). The OLiA discourse extensions build on earlier ontologies for discourse phenomena such as SemDok [8], an ontology of discourse relations used in a natural language generation system, and the Discourse Community of Practice Extensions [107] of the GOLD ontology [89], as well as on other efforts to standardize discourse annotation schemas that originally used XML or domain-specific formats to model their taxonomies [32,127]. The work on discourse annotation schemas stimulated the initiative on researching speaker attitude detection relaying on attitudinal discourse marker identification in the multilingual data.…”
Section: Pragmaticsmentioning
confidence: 99%