Word classification and hierarchy using co-occurrence word information
Word classification and hierarchy using co-occurrence word information
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DOI：
10.1016/j.ipm.2003.08.009
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发表时间：
2004-11-01
影响因子：
8.6
通讯作者：
Aoe, J
中科院分区：
文献类型：
--
作者：
Morita, K;Atlam, ES;Aoe, J
随着近年来计算机的发展，高速计算复杂的高级处理已成为可能。此外，在自然语言处理(NLP)系统中使用了大量的语言知识来改进系统。因此，自然语言处理系统中共现词信息的必要性进一步增加，并利用共现词信息进行了各种研究。此外，在自然语言处理中，词典是必不可少的，因为整个系统的能力取决于词典的数量和质量。本文阐述了共现词信息在自然语言处理系统中的重要性。描述了共现词(接收词)和共现频率的分类技术，并对分类后的组进行了层次化表示。此外，本文还提出了一个自动构建系统和一个完整的主题词表的技术。对该系统进行了实验试运行，验证了所提技术的有效性。(C)2003爱思唯尔有限公司。保留所有权利。
By the development of the computer in recent years, calculating a complex advanced processing at high speed has become possible. Moreover, a lot of linguistic knowledge is used in the natural language processing (NLP) system for improving the system. Therefore, the necessity of co-occurrence word information in the natural language processing system increases further and various researches using co-occurrence word information are done. Moreover, in the natural language processing, dictionary is necessary and indispensable because the ability of the entire system is controlled by the amount and the quality of the dictionary. In this paper, the importance of co-occurrence word information in the natural language processing system was described. The classification technique of the co-occurrence word (receiving word) and the co-occurrence frequency was described and the classified group was expressed hierarchically. Moreover, this paper proposes a technique for an automatic construction system and a complete thesaurus. Experimental test operation of this system and effectiveness of the proposal technique is verified. (C) 2003 Elsevier Ltd. All rights reserved.