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Calculating Similarity between Unknown Words Based on Combination Strategy |
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PP: 685-691 |
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Author(s) |
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Fan Xing-Hua,
Cao Rong-Li,
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Abstract |
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| This paper presents a method of calculating similarity between unknown words based on combination strategy. In the
method, the best concept expression of an unknown word in corpus is obtained from the background of it, and then we construct
context for the best concept expression. The connotation meaning of an unknown word is determined by the difference between the
context of the best concept expression and its own context. The similarity between unknown words is calculated by utilizing semantic
dictionary and the method of using the search engine to reconstruct corpus. Experimental results show that the precision, the recall and
F1 in the method reaches 99.4%, 97.3% and 98.4% respectively, which are increased 21.4%, 3.2% and 13.1% respectively compared
with the results got by using the method of similarity calculation based on HowNet known. |
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