| 基于改进HMM的文本信息抽取模型 |
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| 引用本文： | 梁吉光,田俊华,姜杰. 基于改进HMM的文本信息抽取模型[J]. 计算机工程, 2011, 37(20): 178-179. DOI: 10.3969/j.issn.1000-3428.2011.20.061 |
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| 作者姓名： | 梁吉光 田俊华 姜杰 |
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| 作者单位： | 南京师范大学教育科学学院,南京,210000 |
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| 基金项目： | 江苏省高校自然科学基础研究基金资助项目(08KJD120004);全国教育科学规划德育专项基金资助项目(GEA090005) |
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| 摘 要： | 提出一种基于改进隐马尔可夫模型(HMM)的文本信息抽取模型。给出一个新假设，使用绝对平滑算法对模型参数进行平滑，利用Viterbi算法对观察值序列进行正序和逆序解码，基于N-Gram模型对2次解码结果进行对比消歧，得到较准确的状态序列。实验结果表 明，该信息抽取模型能提高信息抽取的准确率。
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| 关 键 词： | 隐马尔可夫模型 绝对平滑 观察值 信息抽取 引文信息 |
| 收稿时间： | 2011-04-13 |
Text Information Extraction Model Based on Improved HMM |
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| LIANG Ji-guang,TIAN Jun-hua,JIANG Jie. Text Information Extraction Model Based on Improved HMM[J]. Computer Engineering, 2011, 37(20): 178-179. DOI: 10.3969/j.issn.1000-3428.2011.20.061 |
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| Authors: | LIANG Ji-guang TIAN Jun-hua JIANG Jie |
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| Affiliation: | (Educational Science College,Nanjing Normal University,Nanjing 210000,China) |
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| Abstract: | This paper proposes a text information extraction model based on improved Hidden Markov Model（HMM）.It gives a new assumption of observation emission.And the absolute smoothing algorithm is used to smooth the parameters of the model.The model recovers the most-likely state sequence of the observation sequence and the reverse observation sequence with the Viterbi algorithm.It compares the results with each other based on N-Gram model,and outputs a more accurate result for the state sequence.Experimental results indicate that this model has effectively improved precision. |
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| Keywords: | Hidden Markov Model（HMM） absolute smoothing observation information extraction citation information |
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