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Text watermarking algorithm based on semantic role labeling

机译:基于语义角色标记的文本水印算法

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This paper proposes a new approach for text watermarking that uses the semantic roles to embed watermark information. The technology of natural language processing is applied to find and label the three types of semantic roles A0, A1 and ADV in a text. A watermark message is converted into the hexadecimal Unicode and then compressed with the Huffman encoding to form a digit string that consists of the digits 0, 1 and 2. Let the three types of the semantic roles correspond to the three kinds of the digits one to one. The watermark digits are embedded by mapping each digit into the location of a semantic role of the corresponding type. The algorithm does not make any change to the format and content of a text. It has good features of concealment and robustness and can resist various text format transformations and watermark attacks.
机译:本文提出了一种新的文本水印方法,它使用语义作用来嵌入水印信息。应用自然语言处理技术来查找和标记文本中三种类型的语义角色A0,A1和ADG。将水印消息转换为十六进制Unicode,然后用霍夫曼​​编码压缩,以形成由数字0,1和2组成的数字字符串。让三种类型的语义角色对应于第一个的三种类型的三种类型一。通过将每个数字映射到相应类型的语义角色的位置来嵌入水印数字。该算法不会对文本的格式和内容进行任何更改。它具有隐蔽和稳健性的良好特征,可以抵制各种文本格式的变换和水印攻击。

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