| 基于粗集的汉语词语义项知识的获取 |
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| 引用本文： | 杨尔弘,郝秀兰,李盛.基于粗集的汉语词语义项知识的获取[J].中文信息学报,2002,16(3):28-34. |
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| 作者姓名： | 杨尔弘 郝秀兰 李盛 |
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| 作者单位： | 山西大学计算机科学系 |
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| 基金项目： | 山西省青年基金项目 (2 0 0 0 10 17)支持 |
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| 摘 要： | 由于自然语言语序的灵活性,使得自然语言知识的自动获取很困难。本文基于粗糙集理论的属性值约简方法,结合基于记忆的学习(Memory Based Learning,简称MBL) ,提出了一种汉语多义动词义项知识的获取方法,用该方法获得的知识可用于词义消歧。
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| 关 键 词： | 粗集 记忆学习 汉语多义动词 知识获取 自然语言处理 |
| 修稿时间： | 2001年12月4日 |
Rough Set Based Acquisition of Knowledge About Chinese word Senses |
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| YANG Er,hong,HAO Xiu,lan,LI Sheng.Rough Set Based Acquisition of Knowledge About Chinese word Senses[J].Journal of Chinese Information Processing,2002,16(3):28-34. |
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| Authors: | YANG Er hong HAO Xiu lan LI Sheng |
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| Affiliation: | Dept. of Computer Science, Shanxi University |
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| Abstract: | Due to flexibility of natural language form,automatic acquisition of knowledge about natural language becomes difficult.In this paper,we present a method for acquisition of knowledge about Chinese multi sense verbs based on attributive value reduction of Rough Set and MBL.The knowledge acquired can be used in tasks such as word sense disambiguation,etc. |
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| Keywords: | Rough Set(RS) Memory Based Learning(MBL) Chinese ambiguous verbs acquisition of knowledge natural language processing(NLP) |
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