Methods for the semantic analysis of document markup

Bayerl, Petra Saskia; Lüngen, Harald; Goecke, Daniela; Witt, Andreas; Naber, Daniel

doi:10.1145/958220.958250

Cited by 16 publications

(14 citation statements)

References 18 publications

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“…In [2], three information levels of annotations for XML document have been identified. In order to avoid conflict of the description levels, this work avoids from modeling the information in a single document.…”

Section: Addressing Multiple Annotationsmentioning

confidence: 99%

Representing Annotations in XML Document using String-Trees Model

Gan

2014

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

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The flexibility of XML allows document to be annotated easily. However, these annotations come from different sources like Wordnet thesaurus, POS, DTD, semantic roles etc. These annotations can either be combined in the same document or captured separately in different document. The former, though richer in annotations, may look messy and requires more parsing time. The latter needs control of document consistency. This paper proposes a string-trees model to represent XML document for multiple sources of annotations. This model extends the existing string-tree structure for linguistic content in order to support structured contents of XML document. In this paper, we describe how this model is refined and applied on XML document.

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Section: Addressing Multiple Annotationsmentioning

confidence: 99%

Representing Annotations in XML Document using String-Trees Model

Gan

2014

Proceedings of the 16th International Conference on Information Integration and Web-Based Applications &Amp; Services

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“…Bayerl et al 2003b) using k as a measure of agreement (Cohen 1960). The results of the tests for interrater reliability show that the quality of the TTS annotation was "substantial" (average k = .64).…”

Section: Text Type Structure (Tts)mentioning

confidence: 99%

Discourse Relations and Document Structure

Lüngen

Bärenfänger

Hilbert

et al. 2009

Linguistic Modeling of Information and Markup Languages

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This chapter addresses the requirements and linguistic foundations of automatic relational discourse analysis of complex text types such as scientific journal articles. It is argued that besides lexical and grammatical discourse markers, which have traditionally been employed in discourse parsing, cues derived from the logical and generical document structure and the thematic structure of a text must be taken into account. An approach to modelling such types of linguistic information in terms of XML-based multi-layer annotations and to a text-technological representation of additional knowledge sources is presented. By means of quantitative and qualitative corpus analyses, cues and constraints for automatic discourse analysis can be derived. Furthermore, the proposed representations are used as the input sources for discourse parsing. A short overview of the projected parsing architecture is given. Keywords Discourse parsing • Discourse relations • Document structure • Text technology • Linguistic annotations • XML IntroductionIn the past, several approaches to automatic discourse analysis have been developed as applications of relational discourse theories which describe the semantics of discourse. These approaches are often based on the analysis of discourse connectives as well as morphological and syntactic features. Such surface-oriented strategies are adequate and have yielded good results when applied to the analysis of simple text types like newspaper articles, which are characterised by a limited size and a relatively simple document and syntactic structure. When dealing with more complex text types, however, an analysis of lexis and grammar is not sufficient. Sources of knowledge about discourse and document semantics have to be considered as well.H. Lüngen (m ) Justus-Liebig-Universität Gießen. Gießen, Germany e-mail: luengen@uni-giessen. de Published in: Witt, Andreas/Metzing, Dieter (eds.): Linguistic Modeling of Information and Markup Languages. Contributions to Language Technology. -Dordrecht: Springer, 2010. pp. 97-123. (Text, Speech and Language Technology 41) This chapter deals with the linguistic foundations of discourse analysis for a complex text type by the example of scientific journal articles. Its focus is on the contribution of logical document structure, generic document structure and thematic structure to discourse parsing. The modelling and representation of linguistic structures and knowledge sources based on text-technological (XML-based) formalisms and methods is addressed. The representations are used in investigating correlations and interactions between different types of linguistic information and serve as an input to a discourse parsing System.In the project SemDok, which is part of the Research Group Text-technological modelling o f information funded by the German Research Foundation DFG and scheduled to run in its second phase for three years 2005-2008, a discourse parser for the complex text type "scientific research article" is being developed. Scientific ...

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“…This common view can then be exploited to infer relations between the multiple layers (cf. Bayerl et al, 2003), to provide a framework for editing the common textual source (cf. Witt, 2004), and also to unify the multiple annotation layers for creating an integrated XML view.…”

Section: Xml-based Multilayer Annotationmentioning

confidence: 99%

Unification of XML Documents with Concurrent Markup

Witt

Goecke

Sasaki

et al. 2005

Literary and Linguistic Computing

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An approach to the unification of XML (Extensible Markup Language) documents with identical textual content and concurrent markup in the framework of XML-based multi-layer annotation is introduced. A Prolog program allows the possible relationships between element instances on two annotation layers that share PCDATA to be explored and also the computing of a target node hierarchy for a well-formed, merged XML document. Special attention is paid to identity conflicts between element instances, for which a default solution that takes into account metarelations that hold between element types on the different annotation layers is provided. In addition, rules can be specified by a user to prescribe how identity conflicts should be solved for certain element types.

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Methods for the semantic analysis of document markup

Cited by 16 publications

References 18 publications

Representing Annotations in XML Document using String-Trees Model

Representing Annotations in XML Document using String-Trees Model

Discourse Relations and Document Structure

Unification of XML Documents with Concurrent Markup

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