Research And Realize Of Chinese Question Answering System Based On Fact Questions

With the explosion of information on Internet, the vast amounts of information available on the World Wide Web makes it an attractive resources for answering a variety of questions that users may have. Web search engines frequently return hundreds of thousands of documents in response to a query. In order to find information needed, users often engage in the labor-intensive task of manually perusing "potentially relevant" documents returned by keyword-based search engines. In contrast to the traditional search engine depending on the key words to search, a question answering (QA) system simply accepts user information requests sentences in natural language and responds with a concise answer. In a word, most web search engines at present (e.g., Google) make it very tedious to locate relevant answers to a question. QA system based on NLP is recognized as capability with great potential.Since the early days of artificial intelligence in the 60's, researchers have been fascinated with natural language question answering. However, the difficulty of natural language processing (NLP) has limited the scope of QA to domain-specific expert systems. In recent years, the combination of web growth, improvements in information technology and the explosive demand for better information access has reignited the interest in QA systems. The availability of huge document collections (e.g., the web itself), combined...