An approach to extract answer in question answering based on FCA
一种基于形式概念分析的问答系统答案抽取的研究

As the number of available processing options continues to grow and our question answering (QA) systems attempt to answer more complicated questions, it is essential to have a principled method for dynamically generating different QA strategies. A question answering method was proposed using formal concept analysis (FCA) to extract answers. In the process of extraction, we firstly searched the frequently asked questions (FAQs). If the answers in the FAQs cannot satisfy the user's requirement, we continued to retrieve the relevant documents from Web by search engine. Then, the concept lattice was built by making use of the first N documents. Thereby, the concept matching was utilized to extract answer from the lattices. Different strategies were used to match and select answers to different questions.