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: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=478250
• 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，信仰和其他评论就会充斥网络。随着越来越多的文本信息在网上，它已成为必要的开发自然语言工具，以帮助分析非正式文本快速作出及时的决定。问答（QA）的最新发展使用户可以用自然语言提问，并获得特定的答案，而不是整个文档。 然而，到目前为止，QA的大部分工作都涉及回答来自正式和信息丰富的来源（如报纸文章）的基于事实的问题。 然而，随着越来越多的人使用网络来表达他们的意见，回答来自非正式文档的意见问题将成为一个重要的问题。