Information Extraction from Chinese Papers Based on Hidden Markov Model

被引：1

作者：

Chi Chengying ^{[1
]}

Zhang Yan ^{[1
]}

机构：

[1] Univ Sci & Technol LiaoNing, Anshan 114000, Liaoning, Peoples R China

来源：

ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2 | 2014年 / 846-847卷

关键词：

Information Extraction; The Traditional First-order Hidden Markov Model; The Improved First-order Hidden Markov Model; Precision;

D O I：

10.4028/www.scientific.net/AMR.846-847.1291

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Hidden Markov model HMM (1) is one of the important approaches for information extraction. In this paper, a model of the improved first-order hidden Markov HMM (2) is proposed. In the HMM (2), the output probability of the observation is not only dependent on the current state of the model, but also dependent on the previous state of the current state of the model. The algorithm of the ML and the algorithm of the Viterbi are analyzed. At last, experiments show that the HMM (2) is more precise than the HMM (1).

引用

页码：1291 / 1294

页数：4