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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112899

    Title: Ellipsis and Coreference Resolution in a Computerized Virtual Patient Dialogue System
    Authors: Chuan-Jie Lin;Chien-Wei Pao;Yen-Heng Chen;Chi-Ting Liu;Hui-Huang Hsu
    Keywords: Ellipsis;Coreference resolution;Pronominal anaphora;Dialogue system;Computerized virtual patient
    Date: 2016-09
    Issue Date: 2018-03-09 12:10:34 (UTC+8)
    Publisher: Springer US
    Abstract: This paper describes the design of an ellipsis and coreference resolution module integrated in a computerized virtual patient dialogue system. Real medical diagnosis dialogues have been collected and analyzed. Several groups of diagnosis-related concepts were defined and used to construct rules, patterns, and features to detect and resolve ellipsis and coreference. The best F-scores of ellipsis detection and resolution were 89.15 % and 83.40 %, respectively. The best F-scores of phrasal coreference detection and resolution were 93.83 % and 83.40 %, respectively. The accuracy of pronominal anaphora resolution was 92 % for the 3rd-person singular pronouns referring to specific entities, and 97.31 % for other pronouns.
    Relation: Journal of Medical Systems 40(9) ,article 206
    DOI: 10.1007/s10916-016-0562-x
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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