1 research outputs found
Using Context Information to Enhance Simple Question Answering
With the rapid development of knowledge bases(KBs),question
answering(QA)based on KBs has become a hot research issue. In this paper,we
propose two frameworks(i.e.,pipeline framework,an end-to-end framework)to focus
answering single-relation factoid question. In both of two frameworks,we study
the effect of context information on the quality of QA,such as the entity's
notable type,out-degree. In the end-to-end framework,we combine char-level
encoding and self-attention mechanisms,using weight sharing and multi-task
strategies to enhance the accuracy of QA. Experimental results show that
context information can get better results of simple QA whether it is the
pipeline framework or the end-to-end framework. In addition,we find that the
end-to-end framework achieves results competitive with state-of-the-art
approaches in terms of accuracy and take much shorter time than them.Comment: under review World Wide Web Journa