title: Ellipsis and Coreference Resolution in a Computerized Virtual Patient Dialogue System.
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.
authors: Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan. cjlin@mail.ntou.edu.tw.
authors: Chuan-Jie
authors: CJ
authors: Lin
authors: Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan.
authors: Chien-Wei
authors: CW
authors: Pao
authors: Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan.
authors: Yen-Heng
authors: YH
authors: Chen
authors: Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan.
authors: Chi-Ting
authors: CT
authors: Liu
authors: Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan. h_hsu@mail.tku.edu.tw.
authors: Hui-Huang
authors: HH
authors: Hsu
mesh_terms: D003142:Communication; D010817:Physician-Patient Relations; D013624:Taiwan; D014584:User-Computer Interface
keywords: Computerized virtual patient; Coreference resolution; Dialogue system; Ellipsis; Pronominal anaphora