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New Technology of Library and Information Service  2015, Vol. 31 Issue (6): 64-70    DOI: 10.11925/infotech.1003-3513.2015.06.10
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A Noise Cleaning Method for Synonym Extraction Results
Liu Wei, Wang Xing, Song Peiyan
Institute of Scientific & Technical Information of China, Beijing 100038, China
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[Objective] There are lots of noises in synonym extraction results, and the noises would hurt the availability of extraction results. [Methods] This paper proposes a noise cleaning solution based on synonym graph. The proposed method firstly transforms synonym extraction results into an undirected synonym graph, and then detects the noises in the graph. The method is improved by incorporating the distribution similarity. [Results] The terms randomly selected from the technique field are used in the experiments, and the experiments show that this method can remove noises from the synonym extraction results to some extend. [Limitations] Only part of noises is cleaned, hence the accuracy of detecting noises needs be increased by improving the methods. [Conclusions] This is a feasible approach to clean the noises in the synonym extraction results, which is worth further study.

Key wordsSynonym      Information extraction      Noise cleaning      Synonym relation graph     
Received: 18 November 2014      Published: 08 July 2015
:  TP18  

Cite this article:

Liu Wei, Wang Xing, Song Peiyan. A Noise Cleaning Method for Synonym Extraction Results. New Technology of Library and Information Service, 2015, 31(6): 64-70.

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