期刊文献+

基于实体网格的语篇表示模型研究 被引量:1

Research on the Discourse Representation Model Based on Entity Grid
原文传递
导出
摘要 文章主要围绕实体网格的概念以及构造方法、实体网格在连贯性评测上的作用进行分析,对基于实体网格特征修改和丰富的实体扩展方案以及新的实体网格计算方法进行了深入的分析和研究。 This paper mainly analyzes the concept of entity grid,its formation method and its role in evaluating the consistency.The entity extension scheme modified and enriched based on the entity grid characteristics and the new entity grid computing method are also discussed in depth.
出处 《情报理论与实践》 CSSCI 北大核心 2013年第6期102-106,共5页 Information Studies:Theory & Application
基金 国家自然科学基金项目"基于语言网络的文本主题中心度计算方法研究"(项目编号:61075047) 国家"十二五"科技支撑计划项目"面向外文科技文献信息的知识组织体系建设与应用示范"(项目编号:2011BAH10B00)之课题五"信息资源自动处理 智能检索与STKOS应用服务集成"的研究成果之一
关键词 实体网格 实体网格扩展 语篇表示 评价模型 entity grid extension of entity grid discourse representation evaluation model
  • 相关文献

参考文献18

  • 1BARZILAY R,LAPATA M. Modeling local coherence:an en-tity-based approach [ C] //Proceedings of the 43rd AnnualMeeting of the ACL,Ann Arbor,2005:141-148.
  • 2BARZILAY R,et al. Modeling local coherence:an entity-basedapproach [ J]. Computational Linguistics,2008(1).
  • 3http://en. wikipedia. org/wiki/Zipf's_law.
  • 4SORICUT R,MARCU D. Discourse generation using utility-trained coherence models [ C] //Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions,Sydney,Australia2006:803-810.
  • 5LAPATA M,BARZILAY R. Automatic evaluation of text coher-ence:models and representations [ C] //Proceedings ofthe 19th International Joint Conference on Artificial Intelligence,Edinburgh,Scotland,UK,2005.
  • 6EISNER M,CHARNIAK E. Extending the entity grid with enti-ty-specific features [ C] //Proceedings of the 49th AnnualMeeting of the Association for Computational Linguistics,Port-land ,Oregon,2011:125-129.
  • 7YOKONO H,OKUMURA M. Incorporating cohesive devicesinto entity grid model in evaluating local coherence of Japanesetext [ C] //Computational Linguistics and Intelligent Text Pro-cessing,2010:303-314.
  • 8FILIPPOVA K,STRUBE M. Extending the entity-grid coher-ence model to semantically related entities [ C] //Proceedingsof the 11th European Workshop on Natural Language Genera-tion,Schloss Dagstuhl,Germany,2007:139-142.
  • 9EISNER M,CHARNIAK E. A generative discourse-new modelfor text coherence [ R]. Technical Report CS-07,2007.
  • 10BURSTEIN J,et al. Using entity-based features to model coher-ence in student essays [ C] //Proceedings of the 2010 AnnualConference of the North American Chapter of the ACL,Los An-geles ,California,2010:681-684.

同被引文献24

  • 1A strategy for American innovation:Securing our economic growth and prosperity [ EB/OL ]. [ 2013-01-09 ]. http://www, whitehouse, gov/sites/default/files/uploads/ InnovationStrategy. pdf.
  • 2Obama administration unveils " big data" initiative: Announces $ 200 Million in new R&D investments [ EB/ OL ]. [ 2013-06-09 ]. http://www, whitehouse, gov/ sites/default/files/microsites /ostp/big _ data _ press _ release_final_2, pdf.
  • 3Innovation Union Scoreboard [ EB/OL ]. [ 2013-06-09 ]. http://ec, europa, eu/enterprise/policies/innovation/facts- figures -analysis/innovation-scoreboard/index_en. htm.
  • 4Main Science and Technology Indicators (MSTI) : 2012/ 1 edition[ EB/OL]. [2013-06-09 ]. http://www, oecd. org/science/innovationinsciencetechnologyandindustry/ mainscienceandtechnologyindicatorsmsti20122edition. htm.
  • 5Frank E, Paynter G W, Witten I H, et al. Domain- specific keyphrase extraction [ C ]//Proceedings of the 16th International Joint Conference on Artificial Intelligence ( IJCAI - 99 ) , 1999 : 668 - 673.
  • 6Witten I H, Paynter G W, Frank E, et al. KEA: Practical automatic keyphrase extraction [ C ]// Proceedings of the fourth ACM conference on Digital Libraries, 1999: 254-255.
  • 7Turney P D. Learning algorithms for keyphrase extraction [ J ]. Information Retrieval, 2000, 2 (4) : 303-336.
  • 8Zhang K, Xu H, Tang J, et al. Keyword extraction using support vector machine[ C ]//Proceeding of the 7th Web- Age Information Management ( WAIM'06 ) , Hong Kong, China, 2006: 85-96.
  • 9Cohen J D. Highlights:Language- and Domain-Independent Automatic Indexing Terms for Abstracting[ J ]. JASIS, 1995, 46(3) : 162-174.
  • 10Luhn H P. A statistical approach to mechanized encoding and searching of literary information[ J ]. IBM Journal of Research and Development, Sahon G,Yang C-S,Yu C T 1957, 1(4): 309-317.

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部