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Generating flexible proper name references in text: Data, models and evaluation

Castro Ferreira,Thiago
Krahmer,Emiel
Wubben,Sander
Abstract
This study introduces a statistical model able to generate variations of a proper name, taking into account the person to be mentioned, the discourse context and individual variation. The model relies on the REGnames corpus, a dataset with 53,102 proper name references to 1,000 people in different discourse contexts. We evaluate the versions of our model in the perspective of how human writers produce proper names, and also how human readers process them.
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Date
2017-04-01
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Association for Computational Linguistics (ACL)
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Citation
Castro Ferreira, T, Krahmer, E & Wubben, S 2017, Generating flexible proper name references in text : Data, models and evaluation. in Proceedings of the European Chapter of the Association for Computational Linguistics : EACL 2017. Association for Computational Linguistics (ACL), European Chapter of the Association for Computational Linguistics 2017, Valencia, Spain, 3/04/17. < https://www.aclweb.org/anthology/E/E17/E17-1062.pdf >
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