摘要
为了在英语作文判阅工作中较为准确地提取出切题句子,提出一套基于关系三元组层次主题树模型的英语作文切题度分析算法。通过主题关系三元组的分布式向量来对作文中的句子加以描述,并以余弦值算法对句子的切题度进行判断。最后通过实验分析的方式来验证该算法的有效性。实验研究发现,所提出的英语作文切题度分析算法能够较为准确地识别并提取出英语作文中的切题句子,具有一定的应用价值。
In order to accurately extract relevant sentences in English composition reading,this study proposes a set of English composition relevance analysis algorithm based on the relational triplet hierarchical topic tree model.The sentences in the composition are described by the distributed vector of the topic relational triplet,and the sentence relevance is judged by the cosine algorithm.Finally,the effectiveness of the algorithm is verified by experimental analysis.Through experimental research,it is found that the algorithm proposed in this study can accurately identify and extract the relevant sentences in English composition,and has certain application value.
作者
任丽娜
REN Li-na(Xi'an Eurasia University,Xi'an 710065 China)
出处
《自动化技术与应用》
2024年第3期99-103,共5页
Techniques of Automation and Applications
基金
教育部2021年第二批产学合作协同育人项目(202102546036)
陕西省教育厅科研项目(21jk0258)。
关键词
切题度分析算法
英语作文
层次主题树模型
信息提取
relevance analysis algorithm
English composition
hierarchical topic tree model
information extraction
