Named entity recognition based on hierarchy temporal memory model

Xiaoyu Wang; Deyun Chen; Feng Jiang; Xiangyang Cui

Named entity recognition based on hierarchy temporal memory model

Xiaoyu Wang^*
, Deyun Chen
, Feng Jiang
, Xiangyang Cui

^*Corresponding author for this work

Harbin University of Science and Technology
School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Based on the hierarchy temporal memory model, an experiment on named entity recognition has been carried out. This experiment, which is taken on Chinese word segmentation and speech tagging, has a purpose to test the hierarchy temporal memory model cortex learning algorithm's performance. The results show that this algorithm fits the named entity recognition well, and has good performance in recall and precise. In the end of this paper, the problems which would be confronted on the further research are put forward.

Original language	English
Pages (from-to)	1735-1740
Number of pages	6
Journal	Journal of Information and Computational Science
Volume	9
Issue number	6
State	Published - Jun 2012
Externally published	Yes

Keywords

Hierarchy temporal memory model
Information extraction
Named entity recognition

Cite this

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title = "Named entity recognition based on hierarchy temporal memory model",

abstract = "Based on the hierarchy temporal memory model, an experiment on named entity recognition has been carried out. This experiment, which is taken on Chinese word segmentation and speech tagging, has a purpose to test the hierarchy temporal memory model cortex learning algorithm's performance. The results show that this algorithm fits the named entity recognition well, and has good performance in recall and precise. In the end of this paper, the problems which would be confronted on the further research are put forward.",

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AU - Chen, Deyun

AU - Jiang, Feng

AU - Cui, Xiangyang

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N2 - Based on the hierarchy temporal memory model, an experiment on named entity recognition has been carried out. This experiment, which is taken on Chinese word segmentation and speech tagging, has a purpose to test the hierarchy temporal memory model cortex learning algorithm's performance. The results show that this algorithm fits the named entity recognition well, and has good performance in recall and precise. In the end of this paper, the problems which would be confronted on the further research are put forward.

AB - Based on the hierarchy temporal memory model, an experiment on named entity recognition has been carried out. This experiment, which is taken on Chinese word segmentation and speech tagging, has a purpose to test the hierarchy temporal memory model cortex learning algorithm's performance. The results show that this algorithm fits the named entity recognition well, and has good performance in recall and precise. In the end of this paper, the problems which would be confronted on the further research are put forward.

KW - Hierarchy temporal memory model

KW - Information extraction

KW - Named entity recognition

UR - https://www.scopus.com/pages/publications/84862989325

M3 - 文章

AN - SCOPUS:84862989325

SN - 1548-7741

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JO - Journal of Information and Computational Science

JF - Journal of Information and Computational Science

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Named entity recognition based on hierarchy temporal memory model

Abstract

Keywords

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