摘要
提出了一种基于层叠条件随机场的CFN自动标注方法。该方法在低层条件随机场模型中解决了框架元素的识别,将识别结果传递到上层短语类型识别的条件随机场模型,再将识别结果传递到上层句法功能识别的条件随机场模型,其低层模型为上层模型提供决策支持。实验选用CFN中"陈述"框架下的句子库,实现了基于层叠条件随机场CFN自动标注的原型系统。
This paper presents an approach of CFN automatic tagging based on cascaded conditional random fields model. The frame elements are first recognized by the lower random fields model. The result then is passed to the upper phrase type identification with the random fields mode, and then transfer the results to identify the upper syntactic function identification with the random fields mode. The lower model supports the decision for high model. The experiment selects the sentence of ＂ Statement＂ frame in CFN, has realized CFN automatic tagging based on cascaded conditional random fields model.
出处
《电脑开发与应用》
2009年第3期1-3,共3页
Computer Development & Applications
基金
国家863高技术研究发展计划(2006AA0lZ142)资助
关键词
层叠条件随机场
CFN
框架元素
cascaded conditional random fields, CFN, frame element
