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: 1059257
• 负责人: Ani Nenkova
• 金额: $ 2.5万
• 依托单位: University of Pennsylvania
• 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
• 起止时间: 2011-02-01 至 2014-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059257&HistoricalAwards=false
• 关键词: CI; Collaborative; Research; Summarizing; Opinion

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.

作为这个规划项目的一部分，PI测试收集包括广播和电话对话在内的对话语音语料库的可行性。语料库的注释，以支持研究的提取和抽象的意见和态度的讲话。试点注释工作的目标是适应和完善当前的意见和态度注释计划的会话数据。PI还将在2011年计算语言学协会会议上组织一个研讨会，在此期间，他们计划征求注释需求和未来资源用户研究人员的反馈。试点注释包括抽象和提取摘要，丰富的标记与现有的自动工具的韵律事件检测，话语关系，主题词和提取摘要从当前基线。跟踪关于广泛问题的意见和信息变得越来越重要，面对大量文本和音频形式的信息，这样做越来越困难。然而，语音数据非常难以使用现有技术进行搜索，因此开发用于此类语音搜索的新工具尤为重要。PI正在开发的语料库将使处理这一问题的自动技术的发展成为可能。用户将受益于更好的工具来识别和总结与健康，饮食，购买和环境有关的日常选择的意见。