A Natural Language Instructor for pedestrian navigation based in generation by selection

DM@EACL Pub Date : 2014-04-01 DOI:10.3115/v1/W14-0205
Santiago Avalos, Luciana Benotti
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Abstract

In this paper we describe a method for developing a virtual instructor for pedestrian navigation based on real interactions between a human instructor and a human pedestrian. A virtual instructor is an agent capable of fulfilling the role of a human instructor, and its goal is to assist a pedestrian in the accomplishment of different tasks within the context of a real city. The instructor decides what to say using a generation by selection algorithm, based on a corpus of real interactions generated within the world of interest. The instructor is able to react to different requests by the pedestrian. It is also aware of the pedestrian position with a certain degree of uncertainty, and it can use different city landmarks to guide him.
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基于选择生成的行人导航自然语言指导器
在本文中,我们描述了一种基于人类指导员和人类行人之间真实交互的行人导航虚拟指导员的开发方法。虚拟指导员是一种能够履行人类指导员角色的代理,其目标是帮助行人在真实城市的背景下完成不同的任务。讲师根据感兴趣的世界中生成的真实交互语料库,使用选择生成算法来决定说什么。指导员能够对行人的不同要求作出反应。它对行人的位置也有一定程度的不确定性,并可以利用不同的城市地标来引导他。
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