融合句法和多维度语义信息的中文突发事件触发词抽取
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安徽理工大学 计算机科学与工程学院

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TP391.1

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国家自然科学基金面上项目(62076006);安徽省属高校协同创新项目(GXXT-2021-008);安徽省自然科学基金面上项目(1908085MF189)


Fusion of syntactic and semantic information of multi-dimensional Chinese emergency trigger word extraction
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1.School of Computer Science and Engineering,Anhui University of Technology,Huainan,232001;2.China

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    摘要:

    针对大部分事件触发词抽取未能充分利用句法依存关系和事件语义信息的问题,提出了融合句法和多维度语义信息的中文突发事件触发词抽取。首先,利用预训练语言模型BERT-wmm获得句子的初始嵌入向量字向量和词向量;然后,通过图转换多阶图注意力网络生成有新依存弧的关系依赖图,以捕获词语之间的句法多跳依赖关系和潜在交互信息,进而增强词语的信息表示能力;同时,利用双层附加注意力机制的双向门控循环神经网络捕捉句子级信息和由若干个有相互依存关系句子组成的篇章级信息,以提取多维度语义信息中的重要信息;最后,将字、词、句和篇章级信息进行融合并采用条件随机场完成对事件触发词的抽取。在CEC中文数据集上的实验结果表明,该方法有效的提升了中文突发事件触发词抽取效果。

    Abstract:

    For most events trigger word extraction failed to make full use of syntactic relations and semantic information of problem, put forward the fusion syntax and semantic information of multi-dimensional Chinese emergency trigger word extraction. First of all, using the pre-training language model Bidirectional Encoder Representations from Transformers with Whole Word Masking (BERT-wmm) for embedded sentence initial vector Character and Word vector; Then, through the Graph Transformation Multi order Graph Attention Network to generate a new dependent relationship between arc dependency Graph, to capture the words more jump dependencies and potential interactions information between words, and enhance the information expressing ability of words; At the same time, the use of double layer additional attention mechanism based Bidirectional gated Recurrent neural network with sentence level information and by the number of interdependence sentence level of Chapter level information, to extract the key information of multidimensional semantic information; Finally, the word, word, sentence and chapter level information fusion using conditions with the airport complete event trigger word extraction. In CEC Chinese data set on the experimental results show that this method can effectively enhance the Chinese emergency trigger word extraction effect.

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廖涛,吕玉成,张顺香. 融合句法和多维度语义信息的中文突发事件触发词抽取[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-08-15
  • 最后修改日期:2023-12-25
  • 录用日期:2024-01-03
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