文章基本信息

标题：Generating flexible proper name references in text: Data, models and evaluation
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作者：Thiago Castro Ferreira ; Emiel Krahmer ; Sander Wubben 等
期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2017
卷号：2017
页码：655-664
语种：English
出版社：ACL Anthology
摘要：This study introduces a statistical model able to generate variations of a proper name by taking into account the person to be mentioned, the discourse context and 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 from the perspective of how human writers produce proper names, and also how human readers process them. The corpus and the model are publicly available.