首页> 外文会议>IASTED international conference on artificial intelligence and applications >A METHOD OF POSITIONING UNKNOWN WORDS IN AN EXISTING THESAURUS BASED ON AN ASSOCIATION MECHANISM
【24h】

A METHOD OF POSITIONING UNKNOWN WORDS IN AN EXISTING THESAURUS BASED ON AN ASSOCIATION MECHANISM

机译:基于关联机制将未知词定位在现有词库中的方法

获取原文

摘要

Our research aims to develop a robot which can make smooth conversation with human beings. Such robot needs to have abilities to understand and interpret words. Currently, a technique based on a large-scale language dictionary or a corpus is predominantly mostly used in the field of the language processing. As quite a lot of costs, resources and time are necessary to create such linguistic capital, automatic construction technique is also being researched. However, the knowledge in a category of common sense is inherent to human and difficult to construct automatically although it is indispensable knowledge for robot to realize conversation with human beings without sense of unease. In this paper, we propose a technique which contributes to semiautomatic construction of a large-scale language dictionary and a corpus. Concretely, a system using the proposed technique indicates a position of an unknown word to be registered in an existing thesaurus dictionary. The proposed technique was able to improve approximately 20% in accuracy compared with the traditional techniques.
机译:我们的研究旨在开发一个能够与人类顺利进行的机器人。此类机器人需要具有理解和解释词的能力。目前,基于大规模语言词典或语料库的技术主要用于语言处理领域。由于相当大的成本,资源和时间是创造这种语言资本的必要条件,自动施工技术也正在研究。然而,常识中的知识是人类的并且难以自动构建,尽管对于机器人来说是不可或缺的知识,以便在没有不安的感觉的情况下实现与人类的对话。在本文中,我们提出了一种有助于半自动建设的技术,对大规模语言词典和语料库进行。具体地,使用所提出的技术的系统表示要在现有的词库字典中注册的未知单词的位置。与传统技术相比,所提出的技术能够以准确性提高约20%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号