Cascaded Markov models

被引:0
|
作者
Brants, T [1 ]
机构
[1] Univ Saarland, D-66041 Saarbrucken, Germany
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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 presents a new approach to partial parsing of context-free structures. The approach is based on Markov Models. Each layer of the resulting structure is represented by its own Markov Model, and output of a lower layer is passed as input to the next higher layer. An empirical evaluation of the method yields very good results for NP/PP chunking of German newspaper texts.
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页码:118 / 125
页数:8
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