Attribution and its annotation in the Penn Discourse TreeBank

被引：0
|
作者：
Prasad, Rashmi [1 ]
Dinesh, Nikhil [1 ]
Lee, Alan [1 ]
Joshi, Aravind [1 ]
Webber, Bonnie [2 ]
机构：
[1] IRCS, 3401 Walnut St, Philadelphia, PA 19104 USA
[2] Univ Edinburgh, Edinburgh EH8 9LW, Scotland
来源：
TRAITEMENT AUTOMATIQUE DES LANGUES | 2006年 / 47卷 / 02期
关键词：
Attribution; discourse relations; information extraction; Penn Discourse Treebank;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
In this paper, we describe an annotation scheme for the attribution of abstract objects (propositions, facts, and eventualities) associated with discourse relations and their arguments annotated in the Penn Discourse TreeBank. The scheme aims to capture both the source and degrees of factuality of the abstract objects through the annotation of text spans signalling the attribution, and of features recording the source, type, scopal polarity, and determinacy of attribution.
引用
收藏
页码：43 / 63
页数：21
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