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CI-P: Collaborative Research: Summarizing Opinion and Speaker Attitude in Speech

CI-P: Collaborative Research: Summarizing Opinion and Speaker Attitude in Speech
CI-P:协作研究:总结观点和演讲者在演讲中的态度
批准号:
1059260
负责人:
Julia Hirschberg
金额:
$3.79万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-02-01 至 2014-01-31

项目摘要

项目成果

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中文摘要
翻译
作为这一规划项目的一部分,私人投资机构测试收集包括广播和电话对话在内的会话语料库的可行性。对语料库进行标注,以支持对言语中观点和态度的提取和抽象总结的研究。试点注释工作的目标是对对话数据的当前观点和态度注释方案进行调整和改进。私营部门还组织了一次研讨会,将在计算语言学协会2011年会议上举行,在此期间,他们计划征求作为该资源未来使用者的研究人员的注释、期望数据和反馈。试点注释包括抽象和提取摘要、丰富的标记和现有的韵律事件检测自动工具、话语关系、主题词和从当前基线提取的摘要。跟踪各种问题的意见和信息越来越重要,面对大量文本和音频形式的信息,跟踪意见和信息也越来越困难。然而,使用当前技术搜索语音数据是出了名的困难,因此开发用于这种类型的语音搜索的新工具尤为重要。PIS正在开发的语料库将使开发处理这一问题的自动化技术成为可能。用户将受益于更好的工具来识别和汇总与他们日常选择有关的健康、饮食、购买和环境方面的意见。
英文摘要
As part of this planning project, the PIs test the feasibility of collecting a corpus of conversational speech including both broadcast and telephone conversations. The corpus is annotated to support research in extractive and abstractive summarization of opinion and attitude in speech. The goal of the pilot annotation effort is the adaptation and refinement of current opinion and attitude annotation schemes for conversational data. The PIs are also organizing a workshop to be held at the 2011 meeting of the Association for Computational Linguistics during which they plan to solicit annotation desiderata and feedback from researchers who are the future users of the resource. The pilot annotations include abstractive and extractive summaries, rich mark-up with existing automatic tools for prosodic event detection, discourse relations, topic words and extractive summaries from current baselines. It is increasingly important to track opinions and information on a wide spectrum of issues, and increasingly difficult to do so in the face of enormous amounts of information in textual and audio form. However, speech data is notoriously hard to search using current technologies, so developing new tools for this type of speech search is particularly important. The corpus the PIs are developing will make possible the development of automatic techniques to deal with this problem. Users will benefit from better tools to identify and summarize opinions that concern their daily choices related to health, diet, purchases, and the environment.
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会议论文
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    2327564
  • 项目类别:
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  • 资助金额:
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  • 资助金额:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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