Given a Chinese sentence group that contains a theme sentence,the internal structure label of the sentence group is based on the results of linguistic analysis,while the eye movement trace of reading sentence group contains human psychological cognition.The main work of this paper is the information fusion and internal relevance analysis of structure label and eye movement.In this paper,a classification model based on radial basis function support vector machine and recursive feature elimination is used to predict whether the punctuation clause segment is the key information containing the thematic content according to the corresponding eye movement feature data.The accuracy of 0.76 is achieved.By analyzing the distribution characteristics of eye movement data on the key segment,eye movement features with good distinction for the thematic information of the sentence group are extracted.
眼动指标文本结构标注支持向量机径向基函数特征递归消除
单昊聪、周强
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清华大学信息技术研究院语音和语言技术中心,北京,100084
眼动指标 文本结构标注 支持向量机 径向基函数 特征递归消除
Chinese National Conference on Computational Linguistic
Haikou(CN)
19th Chinese National Conference on Computational Linguistic
NETL
