首页>
外国专利>
PROVIDING SEMANTIC COMPLETENESS ASSESSMENT WITH MINIMAL DOMAIN-SPECIFIC DATA
PROVIDING SEMANTIC COMPLETENESS ASSESSMENT WITH MINIMAL DOMAIN-SPECIFIC DATA
展开▼
机译:提供具有最小域特定数据的语义完整性评估
展开▼
页面导航
摘要
著录项
相似文献
摘要
A question-and-answer system directed to a specific domain optimally utilizes reference documents that are semantically complete for that domain. Semantic completeness of a document is assessed using quality control questions (provided by subject matter experts) applied to the Q&A system followed by analysis of the proposed answers. That analysis is carried out using a cogency module having a feedforward neural network which receives metadata features of the document such as document ownership, document priority, and document type. A domain-optimized corpus for the Q&A system is built by so assessing multiple documents in a document collection, and adding each reference document that is reported as being semantically complete to the domain-optimized corpus. Thereafter, the deep learning question-and-answer system can receive a natural language query from a user, find a responsive answer in the documents while applying the domain-optimized corpus, and provide that answer to the user.
展开▼