[1]项 威,王 邦.中文事件抽取研究综述[J].计算机技术与发展,2020,30(02):1-6.[doi:10. 3969 / j. issn. 1673-629X. 2020. 02. 001]
　XIANG Wei,WANG Bang.Survey of Chinese Event Extraction Research[J].COMPUTER TECHNOLOGY AND DEVELOPMENT,2020,30(02):1-6.[doi:10. 3969 / j. issn. 1673-629X. 2020. 02. 001]
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中文事件抽取研究综述()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年02期
页码:
1-6
栏目:
智能、算法、系统工程
出版日期:
2020-02-10

文章信息/Info

Title:
Survey of Chinese Event Extraction Research
文章编号:
1673-629X(2020)02-0001-06
作者:
项 威; 王 邦
华中科技大学 电子信息与通信学院,湖北 武汉 430074
Author(s):
XIANG Wei; WANG Bang
School of Electronic Information and Communications,Huazhong University of Science and Technology,Wuhan430074,China
关键词:
事件抽取; 自然语言处理; 中文信息处理; 知识图谱; 机器学习
Keywords:
event extraction; natural language processing; Chinese information processing; knowledge graph; machine learning
分类号:
TP391.1
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 02. 001
摘要:
事件抽取是构建知识图谱的关键任务之一,也是当前自然语言处理的研究热点和难点问题。 事件抽取研究从非 结构化的自然语言文本中自动抽取用户感兴趣的事件信息,对人们认知世界有着深远的意义,在信息检索、智能问答、情 感分析等应用场景有着重要的意义和价值。 在公开国际测评和语料的推动下,事件抽取研究受到越来越多的学者关注, 取得了许多的研究成果。 按照事件抽取任务定义,有预先定义结构化的事件表示框架的框架表示事件抽取和通过事件实 例中触发词及事件元素进行聚类的实例表示事件抽取。 根据事件抽取方法的不同,可以分为基于模式匹配的方法和基于 机器学习的方法两大类,中文事件抽取方法还要考虑中文语言特性问题。 文中全面介绍了中文事件抽取的任务和方法, 并总结展望了未来的发展趋势。
Abstract:
Event extraction is one of the essential tasks in knowledge graph construction,and also the focus areas in natural language processing(NLP). Event extraction task investigates how to extract structured event information automatically that users are interested in from unstructured natural language text,which hasfar-reaching significance for people’ scognition oftheworld,and hasimportant signif-icance and value in the application scenarios such as information retrieval(IR),question answering(QA) and sentiment analysis. Having been promoted by several international public assessment and corpus,event extraction research recently has attracted lots of attentions and gained many exciting achievements. According to the extraction objectives,it can be divided into the framework representation-based event extraction,which exploits predefined structural event description frame,and the instance representation-based event extraction, which clusters event instance triggers and arguments. According to the different methods of event extraction,it can be divided into two categories:pattern matching and machinelearning. Chineseevent extraction methodsalso rely on someunique Chinese language features. We review the tasks and methods of Chinese event extraction and discuss the future development trends.

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更新日期/Last Update: 2020-02-10