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

基本信息

  • 批准号:
    0958561
  • 负责人:
  • 金额:
    $ 10万
  • 依托单位:
  • 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

项目摘要

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,是不同专业领域的人之间有效互动的方式。近年来,这种以存储音频形式进行的人类交流迅速发展,为以后的使用提供了充足的原始材料。特别是,搜索作为一项基本用户活动的日益突出,意味着自动浏览、总结或以图形方式可视化口头内容的各个方面的能力变得更加重要。有几项关于多方对话中各种类型事件的表示和检测的研究,例如协议/分歧和决定。但是,对于如何表示会议讨论的结构,以便稍后用于人工浏览或进一步的自动处理,例如摘要,还没有达成共识。这个规划项目致力于建立一个研究基础设施,以便更好地了解会议结构,并旨在以讲习班的形式组织一个社区努力,以确定会议处理研究和教育界的共识需求,以加强现有的和广泛使用的ICSI会议语料库,并注释会议讨论的结构。这些注释对于启动会议讨论的自动检测和注释研究至关重要,对于会议可视化、浏览和总结的研究也很有帮助。此外,这样的基础设施将为自然语言和语音处理的学生和研究人员提供一个实验框架,并使对交互结构感兴趣的社会科学家能够开发出更强大的分析机制。研讨会讨论将有助于决定注释模式和设计注释指导方针,并提供一小组注释会议示例,这些会议将公开提供。

项目成果

期刊论文数量(0)
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Nelson Morgan其他文献

Updated MINDS report on speech recognition and understanding, Part 2 [DSP Education]
关于语音识别和理解的最新 MINDS 报告,第 2 部分 [DSP 教育]
  • DOI:
    10.1109/msp.2009.932707
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Baker;Li Deng;S. Khudanpur;Chin;James R. Glass;Nelson Morgan;Douglas D. O'Shaughnessy
  • 通讯作者:
    Douglas D. O'Shaughnessy
Updated MINDS Report on Speech Recognition and Understanding
更新后的 MINDS 关于语音识别和理解的报告
  • DOI:
    10.1016/s1567-4231(09)70205-9
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    14.9
  • 作者:
    J. Baker;Li Deng;S. Khudanpur;Chin;James R. Glass;Nelson Morgan
  • 通讯作者:
    Nelson Morgan
Writing programs that scale with increasing numbers of cores should be as easy as writing programs for sequential computers
编写随着内核数量的增加而扩展的程序应该像为顺序计算机编写程序一样简单
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    K. Asanović;Rastislav Bodík;James Demmel;T. Keaveny;K. Keutzer;J. Kubiatowicz;Nelson Morgan;David A. Patterson;Koushik Sen;J. Wawrzynek;David Wessel;K. Yelick
  • 通讯作者:
    K. Yelick

Nelson Morgan的其他文献

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{{ truncateString('Nelson Morgan', 18)}}的其他基金

RI: Small: Collaborative Research: Towards Modeling Source Separation from Measured Cortical Responses
RI:小型:协作研究:根据测量的皮质反应对源分离进行建模
  • 批准号:
    1320260
  • 财政年份:
    2013
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Towards Modeling Human Speech Confusions in Noise
EAGER:协作研究:对噪声中的人类语音混乱进行建模
  • 批准号:
    1248047
  • 财政年份:
    2012
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
International: An Analysis of Speaker Diarization Systems Errors
国际:说话人二值化系统误差分析
  • 批准号:
    1135365
  • 财政年份:
    2011
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
OIA/MRI: Acquisition of a Computational Server for Large Vocabulary Connectionist Speech Recognition
OIA/MRI:购买用于大词汇量联结语音识别的计算服务器
  • 批准号:
    0521210
  • 财政年份:
    2005
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2001
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
SGER: Incorporating Higher-Level Information into Dynamic Pronounciation Modeling for ASR
SGER:将高级信息纳入 ASR 动态发音建模
  • 批准号:
    9713346
  • 财政年份:
    1997
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Robust Speech Recognition Using Vector Computing
使用矢量计算的鲁棒语音识别
  • 批准号:
    9612778
  • 财政年份:
    1997
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
Automatic Speech Recognition Based on Syllable-length Acoustic Models
基于音节长度声学模型的自动语音识别
  • 批准号:
    9712579
  • 财政年份:
    1997
  • 资助金额:
    $ 10万
  • 项目类别:
    Continuing Grant
A System for Connectionist Speech Recognition Research
联结主义语音识别研究系统
  • 批准号:
    9311980
  • 财政年份:
    1993
  • 资助金额:
    $ 10万
  • 项目类别:
    Continuing Grant
Application of Signal Processing CAD to the Digital Realization of Artificial Neural Networks
信号处理CAD在人工神经网络数字化实现中的应用
  • 批准号:
    8922354
  • 财政年份:
    1990
  • 资助金额:
    $ 10万
  • 项目类别:
    Continuing Grant

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