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

作为这个计划项目的一部分，pi测试了收集包括广播和电话对话在内的对话语料库的可行性。对语料库进行注释，以支持对讲话中的意见和态度进行抽取和抽象总结的研究。试点标注工作的目标是适应和改进当前会话数据的意见和态度标注方案。pi还将在计算语言学协会2011年的会议上组织一个研讨会，在此期间，他们计划向未来使用该资源的研究人员征求所需的注释和反馈。试点标注包括抽象和抽取摘要，使用现有的韵律事件检测自动工具进行丰富的标记，话语关系，主题词和当前基线的抽取摘要。跟踪关于广泛问题的意见和信息越来越重要，但面对大量的文本和音频信息，这样做越来越困难。然而，使用现有技术搜索语音数据是出了名的困难，因此开发这种类型的语音搜索新工具尤为重要。pi正在开发的语料库将使处理这一问题的自动化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他们日常选择有关的健康、饮食、购物和环境的意见。

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.