Ontology-Driven Relation Extraction by Pattern Discovery

被引:3
|
作者
Bellandi, A. [1 ]
Nasoni, S. [2 ]
Tommasi, A. [2 ]
Zavattari, C. [2 ]
机构
[1] Univ Pisa, Dept Comp Sci, Pisa, Italy
[2] Metaware SpA, Pisa, Italy
关键词
Ontology-driven chunker; Relation Extraction; Pattern discovery;
D O I
10.1109/eKNOW.2010.17
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With this paper we describe an ontology-driven system that performs relation extraction over textual data. The system exploits expert knowledge of the domain, including lexical resources, in the form of an ontology to drive the extraction of patterns using manually annotated texts. Such patterns are then applied in order to identify candidates for relation extraction. Paired with basic, reliable named-entity-level text annotation, this results in the discovery of relations among entities in Italian newspaper articles. In the paper, we describe the system and measure its performance.
引用
收藏
页码:1 / 6
页数:6
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