期刊文献+

篇章连贯语义关系的自动标注方法 被引量:5

Automatic Annotation Method of Textual Coherence Semantic Relationship
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摘要 为实现篇章连贯语义关系的判定与自动标注,提出一种综合运用关联词多种语法信息的自动标注方法。该方法利用关联词的词性分布规则排除非关联词,标注出潜在关联词,对比关联词库中的模式表,并综合利用搭配距离、搭配强度和句法位置获取合法的篇章连贯模式,在此基础上标注出其语义关系。通过实验验证了该方法的有效性。 This paper provides a method of the automatic annotation by means of the synthetic use of the grammatical information to realize the judgment and automatic annotation of the semantic relationship of textual coherence.The distribution rules of the parts of speech are used to eliminate the non-conjunctions,and the potential conjunctions are tagged.The pattern of the textual coherence is obtained by the synthetic use of the collocation distance,collocation strength and syntactic position after matching the pattern in the corpus of conjunctions.Based on the above data,the semantic relationship is tagged.Experiment shows that the method is effective.
出处 《计算机工程》 CAS CSCD 2012年第7期131-133,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60773167) 教育部人文社科重点研究基金资助重大项目(10JJD740012)
关键词 篇章连贯 语义关系 搭配距离 搭配强度 句法规则 自动标注 textual coherence semantic relationship collocation distance collocation strength syntactic rule automatic annotation
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参考文献12

  • 1邢福义.汉语复句研究[M]北京:商务印书馆,2001.
  • 2Burstein J,Kukich K,Wolff S. Enriching Automated Scoring Using Discourse Marking[A].Montreal,Canada,1998.
  • 3Anthony L,Lashkia G. Automatic Identification of Organizational Structure in Writing Using Machine Learning[A].Birmingham,UK,2003.17-18.
  • 4Chan S W K,Lai T B Y. Mining Discourse Markers for Chinese Textual Summarization[A].Seattle,USA,2000.
  • 5Allen J. Natural Language Understanding[M].San Francisco,CA,USA,1995.
  • 6Wolf F,Gibson E. Representing Discourse Coherence:A Corpusbased Analysis[J].Computational Linguistics,2005,(02):249-287.
  • 7Grosz B,Sidner L. Attention,Intentions,and the Structure of Discourse[J].Computational Linguistics,1986,(03):175-204.
  • 8邹嘉彦;连兴隆;高维君.中文篇章中的关联词语及引导的句子关系的自动标注——面向话语分析的中文篇章语料库的开发[A]北京,1998288-297.
  • 9鲁松,白硕,李素建,刘群.汉语多重关系复句的关系层次分析[J].软件学报,2001,12(7):987-995. 被引量:24
  • 10胡金柱,舒江波,姚双云,周星,吴锋文,肖升.面向中文信息处理的复句关系词提取算法研究[J].计算机工程与科学,2009,31(10):90-93. 被引量:22

二级参考文献29

共引文献47

同被引文献54

  • 1孙凯丽,邓沌华,李源,李妙,李洋.基于句内注意力机制多路CNN的汉语复句关系识别方法[J].中文信息学报,2020(6):9-17. 被引量:11
  • 2周强.汉语句法树库标注体系[J].中文信息学报,2004,18(4):1-8. 被引量:91
  • 3梁茂成.学习者书面语语篇连贯性的研究[J].现代外语,2006,29(3):284-292. 被引量:98
  • 4Mann W C, Thompson S A. Rhetorical structure theory: a framework for the analysis of texts. IPRA Papers in Pragmatics, 1987, 1: 79-105.
  • 5Mann W C, Thompson S A. Rhetorical structure theory: toward a functional theory of text organi?zation. Text, 1988,8(3): 243-281.
  • 6Soricut R, Marcu D. Sentence level discourse parsing using syntactic and lexical information II Proceedings of the 2003 Conference of the North American Chap?ter of the Association for Computational Linguistics on Human Language Technology-Volume 1. Edmon?ton: Association for Computational Linguistics, 2003: 149-156.
  • 7Le Thanh H, Abeysinghe G, Huyck C. Automated discourse segmentation by syntactic information and cue phrases II Proceedings of the lASTED International Conference on Artificial Intelligence and Applications. Innsbruck, 2004: 411-415.
  • 8Subba R, Di Eugenio B. Automatic discourse seg?mentation using neural networks II Proceedings of the 11 th Workshop on the Semantics and Pragmatics of Dialogue. Trento, 2007: 189-190.
  • 9Subba R, Di Eugenio B. An effective discourse parser that uses rich linguistic information II Proceedings of Human Language Technologies: the 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Boulder: Association for Computational Linguistics, 2009: 566-574.
  • 10DuVerle D, Prendinger H. A novel discourse parser based on support vector machine classification I I Proceedings of theJoint Conference of the 47th Annual Meeting of the ACL and the 4th InternationalJoint Conference on Natural Language Processing of the AFNLP. Suntec: Association for Computational Linguistics, 2009: 665-673.

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