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共指消解研究进展综述OA

A REVIEW OF RESEARCH PROGRESS IN COREFERENCE RESOLUTION

中文摘要英文摘要

共指消解是识别文本中所有指向同一实体的不同表述的过程,其被认为是自然语言理解中最困难的任务之一,它对文本摘要、机器阅读理解、自动问答、机器翻译等方面的效果与性能有着至关重要的影响.对共指消解的基本概念进行介绍,探讨其研究意义与应用的领域,着重介绍近年来基于神经网络的共指消解技术的研究现状与进展,并介绍共指消解的评价指标和数据集,分析共指消解研究的挑战和未来可能的发展方向.

Coreference resolution is a process of identifying all the different expressions in a text that refer to the same entity,and it is considered as one of the most difficult tasks in natural language processing,which has a crucial impact on the effectiveness and performance of text summarization,machine reading comprehension,question and answer and machine translation.This paper introduced the basic concept of coreference resolution,discussed its research significance and application fields,highlighted the research status and progress of coreference resolution based on neural networks in recent years,and introduced coreference resolution evaluation metrics and datasets.The challenges and future development directions of coreference resolution research were analyzed.

严云天;尤建清

北京信息科技大学计算机学院 北京 102299北京信息科技大学计算机学院 北京 102299||北京信息科技大学智能信息处理研究所 北京 100101

信息技术与安全科学

共指消解自然语言处理神经网络消解模型

Coreference resolutionNatural language processingNeural networkResolution model

《计算机应用与软件》 2026 (5)

1-9,104,10

北京信息科技大学高教研究课题(2020GJYB13)北京信息科技大学教改研究课题(2023JGYB20)国家自然科学基金项目(62176023).

10.3969/j.issn.1000-386x.2026.05.001

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