A weighted robust parsing approach to semantic annotation

被引：0

作者：

Ghorbel, H ^{[1
]}

Pallotta, V ^{[1
]}

机构：

[1] Swiss Fed Inst Technol, LITH MEDIA Grp, CH-1015 Lausanne, Switzerland

来源：

6TH APPLIED NATURAL LANGUAGE PROCESSING CONFERENCE/1ST MEETING OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE AND PROCEEDINGS OF THE ANLP-NAACL 2000 STUDENT RESEARCH WORKSHOP | 2000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：

This paper proposes a grammar-based approach to semantic annotation which combines the notions of robust parsing and fuzzy grammars. We present an overview of a preliminary research aimed to generalize some results from a recent project on interaction through speech with information systems where techniques based on the above notions have been successfully applied. The goal of the article is to give a development environment to linguists.

引用

页码：B19 / B23

页数：5

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