Psychological Representations of Multiple Agents in Text and Spoken Discourse

文本和口语中多个主体的心理表征

• 批准号: 9711974
• 负责人: Richard Gerrig
• 金额: $ 55.37万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-15 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9711974&HistoricalAwards=false
• 关键词: Psychological; Representations; Multiple; Agents; Text

This project probes the nature of psychological representations of discourse and applies the results to a computational model of "who knows what" in text about multiple agents. Many kinds of inferences and pragmatic effects depend on knowing who has access to which information, as well as who shares common ground. Computational and psychological models of text understanding have largely ignored the ramifications of multiple agent sources on the representation and use of textual information. Our objectives are: A) to examine how people process and represent the distinct knowledge states of agents depicted or quoted in both constructed and naturally occurring texts, B) to investigate how readers' representations of texts are affected by the perspectives they bring to these texts, as well as by how sources are presented, and C) to apply these empirical results to the construction of a partly-automated system for extracting, representing, and coding "who knows what" in a large corpus of naturally occurring texts - news stories from The Wall Street Journal. This research will contribute to practical goals concerning the modeling and extraction of information from text and reported speech, as well as to theoretical goals concerning how people process and represent texts about multiple agents.

本项目探讨话语的心理表征的性质，并将结果应用于关于多个代理人的文本中“谁知道什么”的计算模型。 许多推理和语用效果都依赖于知道谁能获得哪些信息，以及谁有共同点。 文本理解的计算和心理模型在很大程度上忽略了多个代理源对文本理解的影响。 文本的表达和使用 信息. 我们的目标是：A）考察人们如何处理和表征在建构的和自然发生的文本中描绘或引用的主体的不同知识状态，B）考察读者对文本的表征如何受到他们带给这些文本的视角以及如何呈现来源的影响，和C）将这些经验结果应用于构建 一个半自动化的系统 提取，表示和编码“谁知道什么”在一个大型语料库的自然发生的文本-新闻故事从华尔街日报。 这项研究将有助于实际目标的建模和提取信息的文本和报告的语音，以及理论目标，人们如何处理和表示文本的多个代理。