Evolutionary Shallow Parsing

被引：1

作者：

Atkinson, John ^{[1
]}

Matamala, Juan ^{[1
]}

机构：

[1] Univ Concepcion, Dept Comp Sci, Concepcion, Chile

来源：

2009 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS | 2009年

关键词：

Natural Language Parsing; Chunking; Evolutionary Computation;

D O I：

10.1109/ISDA.2009.132

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, a new approach to natural-language chunking using an evolutionary model is proposed. This uses previously captured training information to guide the evolution of the model. In addition, a multi-objective optimization strategy is used to produce the best solutions based on the internal and the external quality of chunking. Experiments and the main results obtained using the model and state-of-the-art approaches are discussed.

引用

页码：420 / 425

页数：6

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