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A Novel Similarity Calculation Method Based on Chinese Sentence Keyword Weight

机译:一种基于中文句子关键词权重的相似度计算方法

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摘要

Question Answering system (QA), is a kind of new information retrieval system which can be queried with natural language and return knowledge directly.By improving the traditional Chinese sentence similarity model, this paper proposes a Chinese sentence similarity calculation method based on keywords weight.Its key question is that questions asked by user and questions in the Frequently Asked Question (FAQ) carry on similarity calculation, discover the closest question in the FAQ and return the question answer stored in advance. It can also automatically update and maintain FAQ.The experiment indicates that precision of question match can be improved compared with traditional sentence similarity model.
机译:QA(Question Answering System,问答系统)是一种可以自然语言查询,直接返回知识的新型信息检索系统。通过改进传统的中文句子相似度模型,提出了一种基于关键词权重的中文句子相似度计算方法。它的关键问题是用户提出的问题和常见问题解答(FAQ)中的问题进行相似度计算,发现FAQ中最接近的问题并返回预先存储的问题答案。实验表明,与传统的句子相似度模型相比,问题匹配的精确度有所提高。

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