Assessing the quality of natural language text data

dc.contributor.author	Sonntag, Daniel
dc.contributor.editor	Dadam, Peter
dc.contributor.editor	Reichert, Manfred
dc.date.accessioned	2019-10-11T11:42:33Z
dc.date.available	2019-10-11T11:42:33Z
dc.date.issued	2004
dc.description.abstract	We follow an empirical approach from data quality toward text quality, where the expectations of the consumer, human or machine, take the centre stage. We try to obtain numerical text quality statements which must be interpreted for the expectations of the user and suitability for automatic natural language processing (NLP) separately. We state that apart from text accessibility today only representational text quality metrics can be derived and computed automatically. Interestingly, text quality for NLP traces back to questions of text representation.	en
dc.identifier.isbn	3-88579-379-2
dc.identifier.pissn	1617-5468
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/28866
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Informatik 2004 – Informatik verbindet – Band 1, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-50
dc.title	Assessing the quality of natural language text data	en
dc.type	Text/Conference Paper
gi.citation.endPage	263
gi.citation.publisherPlace	Bonn
gi.citation.startPage	259
gi.conference.date	20.-24. September 2004
gi.conference.location	Ulm
gi.conference.sessiontitle	Regular Research Papers

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