A framework for robust semantic interpretation

被引：0

作者：

Rosé, CP ^{[1
]}

机构：

[1] Univ Pittsburgh, Learning Res & Dev Ctr, Pittsburgh, PA 15260 USA

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 describes AUTOSEM, a, robust semantic interpretation framework that can operate both at parse time and repair time. The evaluation demonstrates that AUTOSEM achieves a high level of robustness efficiently and without requiring any hand coded knowledge dedicated to repair.

引用

页码：A311 / A318

页数：8

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