SBIR Phase II: Advanced Question Answering

SBIR 第二阶段：高级问答

• 批准号: 0215672
• 负责人: Ian Niles
• 金额: $ 50万
• 依托单位: Language Computer Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-15 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0215672&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Advanced; Question

This Small Business Innovation Research (SBIR) Phase II project is developing an advanced questions answering (QA) system with the use of innovative natural language processing (NLP). The specific areas addressed by this project are: (1) a true open-domain, high precision QA system optimized for commercial deployment; (2) distributed processing that provides an unprecedented QU system response time; and (3) system management and reporting tools for real-time customer feedback.The final product will provide accurate and short answers to questions asked in plain English. The need for this capability is widespread in companies, government agencies, and among individuals. The users may be casual questioners who ask simple factual questions, consumers who look for specific product features and prices, research analysis that collect market, finance, or business information, or professional information analysts such as law enforcement officials searching for very specific information requiring considerable expertise.

这项小型企业创新研究（SBIR）II阶段项目正在使用创新的自然语言处理（NLP）开发高级问题回答（QA）系统。 该项目解决的特定领域是：（1）为商业部署而优化了真正的开放域，高精度质量标准系统； （2）提供空前的QU系统响应时间的分布式处理； （3）实时客户反馈的系统管理和报告工具。最终产品将为要求的问题提供准确，简短的答案。 对这种能力的需求在公司，政府机构以及个人中普遍存在。 用户可能是随便的提问者，他们提出简单的事实问题，寻找特定产品功能和价格的消费者，收集市场，财务或业务信息的研究分析，或者是专业信息分析师，例如执法官员，他们搜索需要相当专业知识的非常具体信息。