• DocumentCode
    1955640
  • Title

    Dependency Tree-Based Anaphoricity Determination for Coreference Resolution

  • Author

    Kong, Fang ; Zhou, Jianmei ; Zhou, Guodong ; Zhu, Qiaoming

  • Author_Institution
    JiangSu Provincial Key Lab. for Comput. Inf. Process. Technol., Nanjing, China
  • fYear
    2010
  • fDate
    28-30 Dec. 2010
  • Firstpage
    215
  • Lastpage
    218
  • Abstract
    This paper proposes a new scheme to determine the tree span structure for tree kernel-based anaphoricity determination in coreference resolution. Given a sentence and current mention, it gets all the dependencies, encodes the order of all the words, constructs the corresponding dependency tree and keeps the nodes and the paths related with current mention based on constituent dependencies, while removing the noisy information, eventually leading to a dynamical dependency tree (DDT). Evaluation on the ACE 2003 corpus shows that the DDT is effective for anaphoricity determination, and that applying our anaphoricity determination module in coreference resolution achieves the improvement of performance.
  • Keywords
    linguistics; tree data structures; coreference resolution; dependency tree-based anaphoricity determination; dynamical dependency tree; tree span structure; Convolution; Hidden Markov models; Kernel; Machine learning; Noise measurement; Semantics; Syntactics; Anaphoricity determination; Coreference resolution; Dependency tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asian Language Processing (IALP), 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-9063-9
  • Type

    conf

  • DOI
    10.1109/IALP.2010.25
  • Filename
    5681615