Abstract
Abbreviations are common in everyday Chinese. For applications like information retrieval, we want not only to recognize the abbreviations, but also to know what they stand for. To tackle the emergence of all kinds of new abbreviations, this paper proposes a novel method that expands an abbreviation to its full name employing the Web as the main information source. Snippets containing full names of an abbreviation are obtained through a search engine by learned ”help words”. Then the snippets are examined using linguistic heuristics to generate a list of candidates. We select the optimal candidate according to a kNN-based ranking mechanism. Experiment shows that this method achieves satisfactory results.
This paper is supported in part by Chinese 863 project No. 2009AA01Z334 and the Shanghai Municipal Education Commission Foundation for Excellent Young University Teachers.
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Liu, H., Chen, Y., Liu, L. (2009). Automatic Expansion of Chinese Abbreviations by Web Mining. In: Deng, H., Wang, L., Wang, F.L., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2009. Lecture Notes in Computer Science(), vol 5855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05253-8_45
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DOI: https://doi.org/10.1007/978-3-642-05253-8_45
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