Semantics of Action Verbs for Animtion Control of Task Performance

用于任务执行动画控制的动作动词语义

基本信息

批准号：
9209365
负责人：
Jugal Kalita
金额：
$ 8.99万
依托单位：
University of Colorado at Colorado Springs
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1992
资助国家：
美国
起止时间：
1992-07-15 至 1995-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9209365&HistoricalAwards=false
关键词：
Semantics Action Verbs Animtion Control

项目摘要

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.

语言已经发展出丰富的词汇，尤其是动作动词及其修饰符，这些动词可以轻率地描述人类和其他人进行的简单和复杂的运动。总体长期目标是建模类似人类的代理的结构，用自然语言指导他们执行简单的物理任务，并显示通过计算机图形动画执行的E操作。该研究解决了整体努力中选定的问题和方法的问题。 PI的博士学位论文（1990年，宾夕法尼亚大学）。认为有必要研究自然语言与空间，运动和力量概念的关系，并在动作动词及其修饰符的词汇语义中使用这些关系。在拟议的研究中，我们将进一步加强为扩展的动词及其修饰符获得有用的词汇条目的主张。我们将研究操纵对象的显着功能，结构和其他特性，以及一般的物理环境，这是运动基础所需的结构，功能和其他相关约束所必需的：这对于实际执行自然语言指令在不同物理情况下指定的任务至关重要。意思是人类词典中的动作动词的条目（以自然语言给出），并确定使用此类条目可能获取新的计算词汇条目所需的处理性质。