Cross-situational learning of object-word mapping using Neural Modeling Fields
Cross-situational learning of object-word mapping using Neural Modeling Fields
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DOI：
10.1016/j.neunet.2009.06.010
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发表时间：
2009-07-01
期刊：
影响因子：
7.8
通讯作者：
Perlovsky, Leonid I.
中科院分区：
文献类型：
--
作者：
Fontanari, Jose F.;Tikhanoff, Vadim;Perlovsky, Leonid I.
儿童如何学习单词的意思是发展心理学的基础问题。最近开发或发展交互机器人或虚拟代理之间有效通信协议的尝试，将这个问题带到了更多应用研究领域的中心位置，比如计算语言学和神经网络。学习对象-词映射的一个有吸引力的方法是所谓的跨情境学习。这种学习场景是基于一个直观的概念，即学习者可以通过在所有观察到的单词用法中找到一些共同点来确定单词的意思。在这里，我们展示了确定性神经建模场（NMF）分类机制如何被学习者作为一种有效的算法来推断正确的对象-词映射。为了实现这一目标，我们首先将原始的在线学习问题简化为批量学习问题，其中NMF机制的输入都是可以从跨情境学习场景中推断出来的所有可能的目标词关联。由于许多这些关联是不正确的，它们被认为是杂波或噪声，并被我们的NMF实现中包含的杂波检测器模型自动丢弃。有了这两个关键成分——批学习和杂波检测——NMF机制能够完美地推断出正确的对象-词映射。2009爱思唯尔有限公司版权所有。
The issue of how children learn the meaning of words is fundamental to developmental psychology. The recent attempts to develop or evolve efficient communication protocols among interacting robots or Virtual agents have brought that issue to a central place in more applied research fields, such as computational linguistics and neural networks, as well. An attractive approach to learning an object-word mapping is the so-called cross-situational learning. This learning scenario is based on the intuitive notion that a learner can determine the meaning of a word by finding something in common across all observed uses of that word. Here we show how the deterministic Neural Modeling Fields (NMF) categorization mechanism can be used by the learner as an efficient algorithm to infer the correct object-word mapping. To achieve that we first reduce the original on-line learning problem to a batch learning problem where the inputs to the NMF mechanism are all possible object-word associations that Could be inferred from the cross-situational learning scenario. Since many of those associations are incorrect, they are considered as clutter or noise and discarded automatically by a clutter detector model included in our NMF implementation. With these two key ingredients - batch learning and clutter detection - the NMF mechanism was capable to infer perfectly the correct object-word mapping. (C) 2009 Elsevier Ltd. All rights reserved.