Semantics of Action Verbs for Animtion Control of Task Performance

语言进化出了丰富的词汇，特别是动作动词及其修饰语，可以恰当地描述人类和其他人所做的简单和复杂的动作。总体长期目标是对类人代理的结构进行建模，用自然语言指导它们执行简单的物理任务，并以计算机图形动画的形式显示正在执行的动作。本研究针对整体工作中所选取的问题、议题及解决方法。派的博士论文(1990年，宾夕法尼亚大学)。认为有必要研究自然语言与空间、运动、力等概念的关系，并利用这些关系来规范动作动词及其修饰语的词汇语义。在拟议的研究中，我们将进一步加强为一组扩展的动作动词及其修饰语获取有用的词条的主张。我们将根据结构、功能和其他相关约束来研究被操纵对象和一般物理环境的显著功能、结构和其他属性，以及运动所需的物理环境：这对于在不同的物理环境中实际执行自然语言指令指定的任务至关重要。用于人类词典中的动作动词的意义条目(以自然语言给出)，并确定使用这些条目可能获得新的计算词条所需的处理的性质。

Language has evolved rich vocabularies, especially action verbs and their modifiers, that can felicitously describe simple as well as complex movements performed by humans and others. The overall long term goal is to model the structure of human-like agents, instruct them in natural language to perform simple physical tasks, and display e actions being performed in terms of computer graphics animation. The research addresses selected problems, issues and methods of solutions in the overall endeavor. The PI's Ph.D. dissertation(1990, University of Pennsylvania). argued that it is necessary to investigate how natural language relates to concepts of space, motion and force, and use these relations in the specification of lexical semantics of action verbs and their modifiers. In the proposed research, we will further strengthen the claims of obtaining useful lexical entries for an extended set of action verbs and their modifiers. We will investigate salient functional, structural and other properties of manipulated objects and the physical environment in general, required for motion bases on the structure, function and other relevant constrain: this is crucial to actually executing tasks specified by natural language instructions in varying physical situations. Meaning entries (given in natural language) for action verbs in human dictionaries and determine the nature of processing necessary to use such entries for possible acquisition of new computational lexical entries.