ITR/PE+SY:Mapping Meetings: Language Technology to make Sense of Human Interaction

ITR/PE SY：映射会议：理解人类互动的语言技术

• 批准号: 0121396
• 负责人: Nelson Morgan
• 金额: $ 140.29万
• 依托单位: International Computer Science Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2006-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121396&HistoricalAwards=false
• 关键词: ITR; PE+SY; Mapping; Meetings; Language

Meetings are essential and ongoing processes in almost every enterprise. To record meetings is to provide a history of human interactions. However, two central challenges remain: (1) how to make sense of the group dynamics in those meetings and (2) how to search through a history of those interactions to find the information one may want. This research aims to develop automatic information processing systems based on the metaphor of a "meeting map", a structured representation that supports the presentation of multiple views of a meeting at different scales. The project will focus on two broad map categories: content maps, portraying topics discussed and decisions made; and interaction maps, identifying the roles and relationships of the participants and the level of concurrence. Building content and interaction maps will involve automatic classification of information from topic changes and salience to disagreement/consensus. These maps will be used for generating simple indicative summaries, and off-the-shelf visualization tools will be used for map presentation. The project will build on analyses of 100 hours of meetings. Evaluations will use objective recognition accuracies and expert assessments of automatic summaries. Meeting maps respect the diversity of information present in meeting scenarios, and provide effective support for human-to-human interactions.

会议是几乎每个企业必不可少的持续流程。记录会议是为了提供人类互动的历史。然而，仍然存在两个核心挑战：（1）如何理解这些会议中的群体动态;（2）如何搜索这些互动的历史，以找到可能需要的信息。本研究的目的是开发自动信息处理系统的基础上的隐喻的“会议地图”，一个结构化的表示，支持在不同的尺度上的会议的多个视图的呈现。该项目将侧重于两大类地图：内容地图，描绘讨论的主题和作出的决定;互动地图，确定参与者的作用和关系以及协同程度。构建内容和交互地图将涉及从主题变化和显著性到分歧/共识的信息自动分类。 这些地图将用于生成简单的指示性摘要，现成的可视化工具将用于地图展示。 该项目将以100个小时会议的分析为基础。 评价将使用自动摘要的客观识别准确性和专家评估。会议地图尊重会议场景中存在的信息的多样性，并为人与人的交互提供有效的支持。