A new type of adaptive-network-based computational verb inference system

Lisha Guo, Yi Guo, Tao Yang
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Abstract

The adaptive-network-based computational verb inference system (ANCVIS) is a kind of computational verb inference system implemented in adaptive networks. In this paper, a new type of ANCVIS, which uses trend-based computational verb similarities, is presented, and its learning algorithm is derived. Simulations show that the proposed model can tune system parameters well and yield reasonable results based on computational verb rules and input-output data pairs.
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一种基于自适应网络的新型计算动词推理系统
基于自适应网络的计算动词推理系统(ANCVIS)是一种基于自适应网络的计算动词推理系统。本文提出了一种基于趋势的计算动词相似度的ANCVIS算法,并推导了其学习算法。仿真结果表明,基于计算动词规则和输入输出数据对,该模型能够很好地调整系统参数,并得到合理的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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