知识组织

语段结构方法在社会媒体信息处理中的应用

  • 沙勇忠 ,
  • 陆莉
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  • 兰州大学管理学院 兰州 730000
沙勇忠(ORCID:0000-0002-2479-2335),教授,博士生导师,E-mail:shayzh@lzu.edu.cn;陆莉(ORCID:0000-0002-8925-8491),硕士研究生。

收稿日期: 2015-05-23

  修回日期: 2015-06-02

  网络出版日期: 2015-06-20

基金资助

本文系国家自然科学基金项目“公众参与的社区减灾管理:公共知识的形成机理及其人-机协作系统研究”(项目编号:71373108)研究成果之一。

Application of Discourse Structure Theory in Social Media Information Processing

  • Sha Yongzhong ,
  • Lu Li
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  • School of management, Lanzhou University, Lanzhou 730000

Received date: 2015-05-23

  Revised date: 2015-06-02

  Online published: 2015-06-20

摘要

[目的/意义] 社会媒体中的信息抽取是信息过载环境下创新社会媒体服务应用面临的重要问题,为此介绍一种可应用于社会媒体信息处理的语段结构方法。[方法/过程] 梳理语段结构方法的国内外研究进展,阐述其基本原理,并通过一个微博实例进行验证分析。[结果/结论] 通过以上工作,探讨将语段结构方法应用到中文社会媒体信息处理中的可行性,以及应用该方法实现中文信息机器处理所面临的研究问题与挑战。

本文引用格式

沙勇忠 , 陆莉 . 语段结构方法在社会媒体信息处理中的应用[J]. 图书情报工作, 2015 , 59(12) : 120 -127 . DOI: 10.13266/j.issn.0252-3116.2015.12.018

Abstract

[Purpose/significance] Information extraction in social media is an important issue when innovating social media's upper application under the environment of information overload. This paper introduces a method of Discourse Structure Theory which can apply to the information processing in social media.[Method/process] This paper reviews the research development of Discourse Structure Theory at home and abroad and its basic principles, and makes a validation analysis on the microblog case with it.[Result/conclusion] This paper discusses the feasibility of Discourse Structure Theory in information processing in Chinese social media, and finds some issues and challenges when applying the new method to the Chinese information machine processing.

参考文献

[1] 刘晓华,周明.面向社会媒体的信息抽取:任务、挑战与机遇[J].智能计算机与应用,2012(6),2(3):18-22.
[2] Bitter C, Elizondo D A, Yang Yingjie. Natural language processing:A prolog perspective[J]. Artificial Intelligence Review,2010,33(1/2):151-173.
[3] 徐凡.英文篇章结构分析关键问题研究[D].苏州:苏州大学, 2013.
[4] Kruijff-Korbayová I, Steedman M. Discourse and information structure[J].Journal of Logic, Language and Information,2003,12(3):249-259.
[5] Zong Huanyun, Yu Zhengtao, Guo Jianyi, et al. An answer extraction method based on discourse structure and rank learning[C]//7th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE).Piscataway:IEEE, 2011:132-139.
[6] Iruskieta M,da Cunha I, Taboada M. A qualitative comparison method for rhetorical structures:Identifying different discourse structures in multilingual corpora[J]. Language Resources and Evaluation,2015,49(2):263-309
[7] Abrahamson J A , Rubin V L. Discourse structure differences in lay and professional health communication[J]. Journal of Documentation,2012,68(6):826-851.
[8] Polanyi L, Berg M, Ahn D. Discourse structure and sentential information structure[J]. Journal of Logic, Language and Information ,2003,12(3):337-350.
[9] Harris M D. Analysis of the discourse structure of lyric poetry[J]. Computers and the Humanities ,1989,23(4/5): 423-428.
[10] 陈莉萍.修辞结构理论与句群研究[J]. 苏州大学学报:哲学社会科学版, 2008, 29(4):118-121.
[11] 黄小平. 新闻副文本的修辞结构研究——以《人民日报》为例[J]. 贵州大学学报:社会科学版, 2014, 32(4):151-156.
[12] 唐旭日,陈小荷,许超,等.基于篇章的中文地名识别研究[J]. 中文信息学报, 2010, 24(2):24-32.
[13] 郑诚,刘福君,李清.基于指代消解和篇章结构分析的自动摘录算法[J].计算机工程, 2012, 38(16):170-173.
[14] 徐凡,朱巧明,周国栋.篇章分析技术综述[J].中文信息学报, 2013, 27(3):20-32.
[15] Webber B, Egg M, Kordoni V. Discourse structure and language technology[J].Natural Language Engineering,2012,18(4):437-490.
[16] Grosz B J, Sidner C L. Attention, intentions, and the structure of discourse[J].Computational Linguistics,1986,12(3):175-204.
[17] Seo J W. Search using social media structures [D].Amherst: University of Massachusetts ,2011:488.
[18] Cohen R. A computational model for the analysis of arguments[R].Toronto: Computer Systems Research Group, University of Toronto, 1983.

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