期刊文献+

基于排序方法的汉语句际关系树自动分析(英文)

A New Ranking Method for Chinese Discourse Tree Building
下载PDF
导出
摘要 提出一种自动分析汉语小句级句际关系树的新方法。在修辞结构理论体系下,构建一个汉语句际关系标注语料库。不同于传统的只关心相邻两个单元的方法,提出一种类排序模型(SVM-R),自动构建汉语句际关系的树结构,旨在把握相邻3个单元之间的关联强度。实验结果表明,所提出的SVM-R模型对句际关系树的分析显著优于传统方法。最后提出并验证了丰富的、适合于汉语句际关系分析的语言特征。 This paper proposes a novel method for sentence-level Chinese discourse tree building. The authors constrcut a Chinese discourse annotated corpus in the framework of Rhetorical Structure Theory, and propose a ranking-like SVM(SVM-R) model to automatically build the tree structure, which can capture the relative associated strength among three consecutive text spans rather than only two adjacent spans. The experimental results show that proposed SVM-R method significantly outperforms state-of-the-art methods in discourse parsing accuracy. It is also demonstrated that the useful features for discourse tree building are consistent with Chinese language characteristics.
出处 《北京大学学报(自然科学版)》 EI CAS CSCD 北大核心 2016年第1期65-74,共10页 Acta Scientiarum Naturalium Universitatis Pekinensis
基金 国家自然科学基金(61371129) 国家重点基础研究发展计划(2014CB340504) 国家社会科学基金重大项目(12&ZD227) 网络文化与数字传播北京市重点实验室开放课题(ICDD201302)资助
关键词 句际关系树构建 排序方法 汉语句际关系语料库 discourse tree building ranking method Chinese discourse annotated corpus
  • 相关文献

参考文献21

  • 1Mann W, Thompson S. Rhetorical structure theory: toward a functional theory of text organization. Text, 1988, 8(3): 243-281.
  • 2Hernault H, Prendinger H, duVerle D, et al. HILDA: a discourse parser using support vector machine classification. Dialogue and Discourse, 2010, 1 (3): 1-33.
  • 3Feng V, Hirst G. Text-level discourse parsing with rich linguistic features // Proceedings of ACL-2012. Jeju: Association for Computational Linguistics, 2012:60-68.
  • 4Feng V, Hirst G. A linear-time bottom-up discourse parser with constraints and post-editting // Proceedings of ACL-2014. Baltimore: Association for Computational Linguistics, 2014:511-521.
  • 5Prasad R, Dinesh N, Lee A, et al. The Penn Discourse Treebank 2.0 // Proceedings of the 6th International Conference on Language Resources and Evaluation. Marrakech, 2008:2961-2968.
  • 6Lin Z, Kan M Y, Ng H T. Recognizing implicit discourse relations in the Penn Discourse Treebank // Proceedings of EMNLP-2009. Singapore: Association for Compu- tational Linguistics, 2009:343-351.
  • 7Pitler E, Louis A, Nenkova A. Automatic sense prediction for implicit discourse relations in text // Proceedings of ACL-2009. Singapore: Association for Computational Linguistics, 2009:683-691.
  • 8Cao F, Xie T. Functional study of topic in Chinese: the first step towards discourse analysis. Beijing: Language and Culture Press, 1995.
  • 9Carlson L, Marcu D, Okurowski M E. Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory // Proceedings of Second SIGdial Workshop on Discourse and Dialogue. Enschede: Springer, 2003:85-112.
  • 10Soricut R, Marcu D. Sentence level discourse parsing using syntactic and lexical infbrmation // Proceedings of NAACL-2003. Edmonton: Association for Compu- tational Linguistics, 2003:149-156.

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