Using adaptive information extraction for effective human-centred document annotation

被引：0
|
作者：
Ciravegna, F [1 ]
Dingli, A [1 ]
Wilks, Y [1 ]
Petrelli, D [1 ]
机构：
[1] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
来源：
TEXT MINING: THEORETICAL ASPECTS AND APPLICATIONS | 2003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：
In this paper we propose a methodology for supporting human-centred annotation of documents, based on adaptive information extraction. We describe the interplay between IE system, annotation interface and users. We discuss our model in terms of timeliness and intrusiveness of the IE system with respect to the human activity. Then we present an experiment that quantifies the gain in using IE as support to human annotators.
引用
收藏
页码：153 / 163
页数：11
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