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.

语言已经进化出丰富的词汇，尤其是动作动词和 他们的修饰语，可以恰当地描述简单， 人类和其他人所做的复杂动作。 整体长 长期目标是模拟类人智能体的结构， 他们用自然语言来执行简单的物理任务， 用计算机图形显示正在执行的动作 动画 该研究针对选定的问题，问题和 在整体奋进方案的努力。 私家侦探的博士学位。 论文（1990年，宾夕法尼亚大学）。他认为， 研究自然语言与概念的关系是必要的 空间、运动和力的关系，并将这些关系用于 动作动词的词汇语义规范及其 修饰语 在建议的研究中，我们将进一步加强 为扩展集获取有用的词汇条目的权利要求 动作动词及其修饰语。 我们会调查 操作对象的功能、结构和其他特性 以及运动基础所需的物理环境 在结构、功能和其他相关限制方面： 对于实际执行自然语言指定的任务至关重要 在不同的物理条件下的指示。 含义条目 （以自然语言给出）在人类词典中用于动作动词 并确定使用这种方法所需的处理性质 可能获得新的计算词汇的条目 条目