Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/797> ?p ?o. }
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- 797 creator david-hardcastle.
- 797 creator donia-scott.
- 797 type InProceedings.
- 797 label "Can we Evaluate the Quality of Generated Text?".
- 797 sameAs 797.
- 797 abstract "Evaluating the output of NLG systems is notoriously difficult, and performing assessments of text quality even more so. A range of automated and subject-based approaches to the evaluation of text quality have been taken, including comparison with a putative gold standard text, analysis of specific linguistic features of the output, expert review and task-based evaluation. In this paper we present the results of a variety of such approaches in the context of a case study application. We discuss the problems encountered in the implementation of each approach in the context of the literature, and propose that a test based on the Turing test for machine intelligence offers a way forward in the evaluation of the subjective notion of text quality.".
- 797 hasAuthorList authorList.
- 797 hasTopic Linguistics.
- 797 isPartOf proceedings.
- 797 keyword "Evaluation methodologies".
- 797 keyword "Generation".
- 797 keyword "Other".
- 797 title "Can we Evaluate the Quality of Generated Text?".