一个面向土耳其语的贫知识代词消解系统
A Knowledge-poor Pronoun Resolution System for Turkish
摘要：
提出了一个代词解析系统，该系统需要有限的句法知识来识别土耳其语中的人称代词和反身代词的先行词。与英语、西班牙语和法语等语言的对应系统一样，该系统的核心是根据经验确定的限制和偏好。在评估阶段，它的表现大大优于用于比较的基线算法。该系统是显着的，它是第一个完全指定的知识贫乏的计算框架，在土耳其语的代词解析，土耳其语具有不同的结构属性的语言，知识贫乏的系统已经开发。
英文摘要：
A pronoun resolution system which requires limited syntactic knowledge to identify the antecedents of personal and reflexive pronouns in Turkish is presented. As in its counterparts for languages like English, Spanish and French, the core of the system is the constraints and preferences determined empirically. In the evaluation phase, it performed considerably better than the baseline algorithm used for comparison. The system is significant for its being the first fully specified knowledge-poor computational framework for pronoun resolution in Turkish where Turkish possesses different structural properties from the languages for which knowledge-poor systems had been developed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
