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SIMILARITY COMPUTATION OF CHINESE QUESTION BASED ON CHUNK

机译:基于块的中文问题相似度计算

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摘要

The currently similarity computation methods of Chinese sentence and their shortcomings are analyzed at first.According to the characteristic of the Chinese question sentence, Chinese question general chunk and special chunk are defined, and then a similarity computation method of Chinese question based on chunk is proposed. In this method,the semantic similarity of words is computed on the basis of HowNet. General chunk is recognized by chunk parsing theory and HMM learning method, and special chunk is retrieved with some heuristic rule or SVM learning methods,then the similarity of each chunk in the two question sentences is computed separately, then the similarity computation of question sentence is realized, which is based on chunk similarity. Finally, the experiment result of question similarity computation method shows that the method proposed in the paper gets a better performance than the others.
机译:首先分析了汉语句子的当前相似度计算方法及其不足。根据汉语疑问句的特点,定义了汉语疑问句的通用块和特殊块,然后提出了基于块的汉语疑问句的相似度计算方法。 。该方法在知网的基础上计算单词的语义相似度。通过块解析理论和HMM学习方法识别通用块,并通过启发式规则或SVM学习方法检索特殊块,然后分别计算两个问题句中每个块的相似度,然后对问题句的相似度进行计算。实现是基于块相似性的。最后,问题相似度计算方法的实验结果表明,本文提出的方法具有比其他方法更好的性能。

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