摘要
关于零形回指的研究一直是语言学研究中的一个热点,零形回指消解是自然语言处理中一项十分重要的任务。20多年来,学者们基于语言学规则、机器学习、深度学习等方面,提出了各种研究方法,并取得了大量研究成果。该文首先介绍零形回指的相关概念;接着介绍目前国际上汉语零形回指消解的公开评测资源OntoNotes 5.0数据集及评价指标;其次,系统梳理和对比了国内外汉语零形回指消解所采用的方法;最后,总结和分析了目前零形回指消解研究的主要制约因素,这些因素也正是未来可能的研究方向。
Zero anaphora resolution is a very important task in natural language processing. For more than two decades, scholars have proposed various methods based on linguistic rules, machine learning, and deep learning, reporting rich findings and empirical results. This paper first introduces the concepts of zero anaphora, following by the current international evaluation resources OntoNotes 5.0 dataset and the evaluation matrix. After that, we systematically examine and summarize the methods used in Chinese zero anaphora resolution at home and abroad. Finally, we disclose the main constraints of the current zero anaphora resolution research, as well as possible future research directions.
作者
蒋玉茹
张禹尧
毛腾
张仰森
JIANG Yuru;ZHANG Yuyao;MAO Teng;ZHANG Yangsen(Institute of Intelligent Information Processing,Beijing Information Science and Technology University,Beijing 100101,China;Beijing Laboratory of National Economic Security Early-warning Engineering,Beijing 100044,China)
出处
《中文信息学报》
CSCD
北大核心
2020年第3期1-12,共12页
Journal of Chinese Information Processing
基金
国家自然科学基金(61602044,61772081)
促进高校内涵发展——研究生科技创新项目(5121911044)。
关键词
零形回指消解
语言学规则
机器学习
深度学习
zero anaphora resolution
linguistic rules
machine learning
deep learning