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融合语义特征的无监督关键词提取算法
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作者 赵长路 刘军 +1 位作者 胡佳 胡宝权 《计算机与数字工程》 2024年第7期1909-1915,1926,共8页
针对传统的词图模型的关键词提取算法缺乏文本语义理解的不足,提出一种融合语义特征的无监督关键词提取算法,该方法结合词嵌入技术与词图模型的思想,将文本语义信息和语序信息同时融入到传统的词图模型算法中。首先利用Word2vec和Doc2ve... 针对传统的词图模型的关键词提取算法缺乏文本语义理解的不足,提出一种融合语义特征的无监督关键词提取算法,该方法结合词嵌入技术与词图模型的思想,将文本语义信息和语序信息同时融入到传统的词图模型算法中。首先利用Word2vec和Doc2vec模型分别对词和文本进行向量表征,获取文本的语序信息,然后通过词向量计算出候选词与文本之间的语义相似度,进而改进TextRank算法,重新对候选关键词之间的边权值和初始值进行分配,并构建对应的重启概率矩阵和转移概率矩阵用于词图模型迭代计算候选词的分值以及关键词的提取。实验结果表明,有效地融合文本的语义信息和语序信息能够提升关键词提取的准确性。 展开更多
关键词 提取 语义信息 语序信息 向量表征 TextRank算法
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Tools to make C programs safe: a deeper study 被引量:1
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作者 王继民 平玲娣 +2 位作者 潘雪增 沈海斌 严晓浪 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2005年第1期63-70,共8页
The C programming language is expressive and flexible, but not safe; as its expressive power and flexibility are obtained through unsafe language features, and improper use of these features can lead to program bugs w... The C programming language is expressive and flexible, but not safe; as its expressive power and flexibility are obtained through unsafe language features, and improper use of these features can lead to program bugs whose causes are hard to identify. Since C is widely used, and it is impractical to rewrite all existing C programs in safe languages, so ways must be found to make C programs safe. This paper deals with the unsafe features of C and presents a survey on existing solutions to make C pro- grams safe. We have studied binary-level instrumentation tools, source checkers, source-level instrumentation tools and safe dialects of C, and present a comparison of different solutions, summarized the strengths and weaknesses of different classes of solutions, and show measures that could possibly improve the accuracy or alleviate the overhead of existing solutions. 展开更多
关键词 Unsafe feature C language Instrumentation tools Safe dialect
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