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A Semantic Disambiguation Algorithm Based on HowNet

机译:基于知网的语义消歧算法

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This paper proposes a word sense disambiguation algorithm based on How Net. This algorithm makes full use of abundant instances library which provided by How Net to carry on preliminary disambiguation. If it does not match with the database, then the algorithm will extract the keywords inherent defined to ambiguities through the dependency grammar. Finally, combined with the explicit and implicit network relationship in How Net, this paper give different weights to different semantic relations and adjust the weights of the sememes through the appropriate algorithm. By this way it eliminates the ambiguity for ambiguous words.
机译:提出了一种基于How Net的词义消歧算法。该算法充分利用了How Net提供的丰富的实例库进行初步的消歧。如果它与数据库不匹配,则该算法将通过依赖性语法提取为歧义定义的固有关键字。最后,结合“知网”中的显性和隐性网络关系,对不同的语义关系赋予不同的权重,并通过适当的算法来调整词义的权重。通过这种方式,它消除了歧义词的歧义。

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