CI-P: Towards a Consensus Representation for Understanding Structure of Multiparty Conversations

CI-P：走向理解多方对话结构的共识表示

• 批准号: 0958561
• 负责人: Nelson Morgan
• 金额: $ 10万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-03-15 至 2012-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958561&HistoricalAwards=false
• 关键词: CI; Towards; Consensus; Representation; Understanding

Meetings provide unique knowledge sharing opportunities and are an efficient way of interaction between people with different expertise areas. Such human communication in stored audio form has rapidly grown in recent years, providing ample source material for later use. In particular, the increased prominence of search as a basic user activity has meant that the ability to automatically browse, summarize, or graphically visualize various aspects of the spoken content has become far more important. There are several studies on representation and detection of various types of events in multiparty conversations, such as agreement/disagreements and decisions. However, there is no consensus on how to represent structure of meeting discussions, to be used later for human browsing or in further automatic processing, such as summarization.This planning project works towards a research infrastructure for a better understanding of meeting structure, and aims to organize a community effort in the form of a workshop, to identify the consensus needs of the meeting processing research and education community, for enhancing the existing and widely used ICSI meetings corpus with annotations of structure of meeting discussions. Such annotations are critical in initiating research on automatic detection and annotation of meeting discussions, and would also be useful for research on meeting visualization, browsing and summarization. Furthermore, such an infrastructure would provide students and researchers in natural language and speech processing a framework to experiment with and enable social scientists interested in interactional structures to develop more robust analysis mechanisms. The workshop discussions will contribute to the decision on an annotation schema and the design of annotation guidelines, with a small set of sample annotated meetings, which will be made publicly available.

会议提供了独特的知识共享机会，并且是具有不同专业知识领域的人之间互动的有效方式。 近年来，这种以存储音频形式以存储的音频形式迅速增长，提供了充足的原始材料供以后使用。特别是，搜索作为基本用户活动的突出性增加意味着能够自动浏览，总结或图形地可视化口语内容的各个方面的能力变得越来越重要。 关于多党对话中各种事件的表示和检测，有几项研究，例如一致/分歧和决策。但是，关于如何代表会议讨论的结构尚无共识，以后用于人类浏览或进一步的自动处理，例如汇总。该计划项目致力于更好地理解会议结构的研究基础架构，并旨在组织社区的努力，以培训和教育的开发，以促进社区的开发和教育，以促进与教育的共识，并促进了人们的共识，并建立了教育的范围。会议讨论的结构。这种注释对于启动自动检测和会议讨论注释的研究至关重要，并且对于实现可视化，浏览和摘要的研究也很有用。此外，这样的基础设施将为学生和研究人员提供自然语言和语音处理的框架，以尝试并使对互动结构感兴趣的社会科学家能够开发出更强大的分析机制。 研讨会的讨论将有助于对注释模式的决定和注释指南的设计，并提供一小部分示例注释会议，这将公开可用。