Improving Coreference Resolution with Semantic Knowledge

被引：4
|
作者：
Fonseca, Evandro [1 ]
Vieira, Renata [1 ]
Vanin, Aline [2 ]
机构：
[1] Pontificia Univ Catolica Rio Grande do Sul, Porto Alegre, RS, Brazil
[2] Univ Fed Ciencias Saude Porto Alegre, Porto Alegre, RS, Brazil
来源：
COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE (PROPOR 2016) | 2016年 / 9727卷
关键词：
Coreference resolution; Semantic knowledge; Information extraction; Machine learning; WORDNET;
D O I：
10.1007/978-3-319-41552-9_21
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper evaluates the impact of semantic features in coreference resolution for the Portuguese language. We show that the new proposed features obtained on the basis of currently available Portuguese semantic resources improve results in precision, recall and f-measure.
引用
收藏
页码：213 / 224
页数：12
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