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2004
Springer

Assessing the Quality of Natural Language Text Data

11 years 5 months ago
Assessing the Quality of Natural Language Text Data
: 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.
Daniel Sonntag
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GI
Authors Daniel Sonntag
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