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

被引：0

作者：

Ferreira, Thiago Castro ^{[1
]}

Krahmer, Emiel ^{[1
]}

Wubben, Sander ^{[1
]}

机构：

[1] Tilburg Univ, Tilburg Ctr Cognit & Commun TiCC, Tilburg, Netherlands

来源：

15TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2017), VOL 1: LONG PAPERS | 2017年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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(1) and the model(2) are publicly available.

引用

页码：655 / 664

页数：10

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