关键词: 独白语篇, 对话语篇, 词嵌入, 多层次差异分析

Abstract: Written discourse includes monologue text and dialogue text, and?monologue and dialogue texts have different description function and vocabulary features. This poses new challenges to the modeling of different parsing tasks based on these texts. This paper uses statistical analysis method to perform a quantitative analysis in multi-level differences of the two types of texts. And this paper analyzs the different distribution features of the two types of texts based on the different word embedding obtained from automatic training of three different types of text data. Then four typical discourse analysis tasks are adopted to analyze the influence of different word embedding in deep learning models. The experimental results show that there are obvious differences in the performance of different word embedding in different discourse analysis tasks, and it verifies the multi-level differences between monologue text and discourse text.

Key words: monologue text, dialogue text, word embedding, multi-level difference analysis