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E.J.Krahmer@uvt.nl
E.C.Marsi@uvt.nl

Dutch sentence fusion data

This is a set of Dutch sentence fusion data in the context of question-answering in the medical domain. It consists of sentence fusions of 25 answer pairs, under four different conditions, by 22 participants. It was collected in the experiment described in the paper:

Emiel Krahmer, Erwin Marsi and Paul van Pelt, Query-based sentence fusion is better defined and leads to more preferred results than generic sentence fusion.In: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Columbus, Ohio, USA, June 15-20, 2008, pp. 193-196. [ pdf]

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Version: 1.0
Formats: zip archive
Size: 120 K
Files: dsfd-1.0.zip