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

• 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

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，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执行的简单和复杂的动作。 总体长期目标是对类人智能体的结构进行建模，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。 该研究解决了总体努力中选定的问题、问题和解决方法。 PI 的博士学位 论文（1990，宾夕法尼亚大学）。认为有必要研究自然语言如何与空间、运动和力的概念相关，并在动作动词及其修饰词的词汇语义规范中使用这些关系。 在拟议的研究中，我们将进一步强化为一组扩展的动作动词及其修饰语获取有用的词汇条目的主张。 我们将研究被操纵对象和一般物理环境的显着功能、结构和其他属性，这些属性是基于结构、功能和其他相关约束的运动所需的：这对于在不同的物理情况下实际执行自然语言指令指定的任务至关重要。 人类词典中动作动词的含义条目（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。