Answering opinion questions from blogs

回答博客中的意见问题

• 批准号: 222852-2008
• 负责人: Kosseim, Leila
• 金额: $ 1.38万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=503354
• 关键词: Answering; opinion; questions; blogs

If tonight, the president of the U.S. were to resign, only a few minutes later, opinions, beliefs and other comments would already flood the Web. As more and more textual information is available online, it has become necessary to develop natural language tools to help analyze informal texts quickly to make timely decisions. Recent developments in Question Answering (QA) have made it possible for users to ask a question in natural language and receive a specific answer rather than an entire document. However, to date, most work in QA has been involved in answering fact-based questions from formal and information-rich sources such as newspaper articles. However, as more and more people use the Web to express their opinions, the problem of answering opinion questions from informal documents will become an important issue.

如果今晚，美国总统辞职，仅仅几分钟后，观点、信念和其他评论就已经充斥着网络。随着越来越多的文本信息可以在网上获得，开发自然语言工具来帮助快速分析非正式文本以做出及时的决策变得必要。问答(QA)的最新发展使用户能够用自然语言提出问题并获得特定的答案，而不是整个文档。然而，到目前为止，QA中的大多数工作都是从正式的和信息丰富的来源(如报纸文章)回答基于事实的问题。然而，随着越来越多的人使用网络表达自己的意见，从非正式文档中回答意见问题将成为一个重要的问题。