宏观篇章结构表示体系和语料建设

篇章结构分析是自然语言处理领域的一个重要研究方向.篇章结构分析有助于理解篇章的结构和语义，并为自然语言处理的应用（如自动文摘、主题抽取、问答系统等）提供有力的支撑.目前篇章结构分析主要集中在微观的层面，分析重点是句子内部或句子与句子之间的关系和结构，而宏观层面的研究相对较少.因此，本文以篇章结构作为研究对象，并将研究重点放在宏观篇章结构的表示体系和语料资源建设上.本文探讨了篇章结构分析的重要性，从理论体系、语料资源、计算模型等三个方面阐述了篇章结构分析的研究现状，提出了以篇章主次关系为媒介的宏观和微观统一的篇章结构表示框架，并分别构建了宏观篇章的逻辑语义结构和功能语用结构.在此基础上本文标注了规模为720篇新闻报道的宏观篇章结构语料，并对标注的结果进行了一致性分析和标注统计分析.

Macro Discourse Structure Representation Schema and Corpus Construction

Discourse structure analysis is an important research topic in natural language processing. Discourse structure analysis not only helps to understand the discourse structure and semantics, but also provides strong support for deep applications of natural language processing, such as automatic summarization, topic extraction, question answering, etc. At present, the analysis of discourse structure is mainly concentrated on the micro level. The analysis focuses on the relations and structures between sentences or sentences groups, while the analysis on macro level is less. Therefore, this paper takes discourse structure as the research object, and focuses on the construction of representation schema and corpus resources on the macro level. This paper discusses the importance of discourse structure analysis, expounds the research status of discourse structure analysis from three aspects of theory system, corpora resource and computing model, and puts forward the macro-micro unified discourse structure representation framework with the primary-secondary relation as the carrier. Furthermore, this paper constructs the logical semantic structure and functional pragmatic structure of macro discourse level respectively. On this basis, this paper annotated a macro Chinese discourse structure corpus, consisting of 720 Newswire articles, and analyzed the results of the annotations in consistency and statistical data.