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| The Research and Analysis on Automatic Extraction of Science and Technology Literature Terms |
| Zeng Wen, Xu Shuo, Zhang Yunliang, Zhai Juanhua |
| Institute of Scientific & Technical Information of China,Beijing 100038,China |
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Abstract [Objective] In order to improve the efficiency of science and technology literature information organization and retrieval,extraction of science and technology terms is the basic research problem. [Methods] The paper proposes an automatic extraction method based on science and technology terms characteristics and statistical computing. The method fully combines language characteristics and statistical information of terms such as the combination strength between words and the position that appeared in the literature to realize automatic extraction algorithm. [Results] Experimental results show that the average accuracy of scientific terms extraction can reach 51.2%. [Limitations] Statistical computing algorithm and data processing still need further improve for the algorithm and the quality of data. [Conclusions] The proposed method is effective.
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Received: 14 February 2014
Published: 14 February 2014
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