An unsupervised approach for semantic relation interpretation

被引：0
|
作者：
Giovannetti, Emiliano [1 ]
机构：
[1] CNR, Ist Linguist Computaz, I-56100 Pisa, Italy
来源：
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2010年
关键词：
WORDNET;
D O I：
暂无
中图分类号：
H [语言、文字];
学科分类号：
05 ;
摘要：
In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally similar" terms, possibly involved in a semantic relation. To validate and label the anonymous relations holding between the terms in input, the candidate pairs of terms are looked for on the Web in the context of reliable lexico-syntactic patterns. This paper focuses on the definition of the patterns, on the measures used to assess the reliability of the suggested specific semantic relation and on the evaluation of the implemented system.
引用
收藏
页码：3811 / 3816
页数：6
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