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

会议提供了独特的知识共享机会，是具有不同专业知识领域的人之间进行互动的有效方式。 近年来，这种以存储的音频形式的人类通信迅速增长，为以后的使用提供了充足的源材料。特别地，搜索作为基本用户活动的日益突出意味着自动浏览、总结或图形化地可视化口头内容的各个方面的能力已经变得更加重要。 有几个研究在多方对话中的各种类型的事件，如协议/分歧和决策的表示和检测。然而，对于如何表示会议讨论的结构，以便稍后用于人类浏览或进一步的自动处理（如摘要），还没有达成共识。该规划项目致力于建立一个研究基础设施，以便更好地理解会议结构，并旨在以研讨会的形式组织社区努力，以确定会议处理研究和教育社区的共识需求，用于增强现有且广泛使用的ICSI会议语料库，并附有会议讨论结构的注释。这些标注对于会议讨论的自动检测和标注研究具有重要意义，对于会议的可视化、浏览和摘要研究也具有重要意义。此外，这样的基础设施将为自然语言和语音处理领域的学生和研究人员提供一个框架，以进行实验，并使对Interests结构感兴趣的社会科学家能够开发出更强大的分析机制。 讲习班的讨论将有助于决定一个注释模式和设计注释准则，并将公布一小部分样本注释会议。

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.