A Domain Specific Multi-Document Reading Comprehension Method for Artificial Intelligence Application.

With the development of artificial intelligence, information retrieval and information extraction and knowledge services from large-scale texts are currently one of the most urgent needs of people. Machine reading comprehension technology is one of the key technologies that can be applied to knowledge mining. At present, multi-document reading comprehension has received a lot of attention, and its application scenarios are also very extensive. The main goal of this article is to find the answer to the question from a large number of smartphone manuals based on the questions raised by the user about the operation of the smartphone. This paper designs a pipeline structure with three modules: retrieval, extraction, and sorting. At the same time, it designs auxiliary tasks for the extraction model to improve the extraction ability, and uses a new answer scoring method to select answers. The final experiment proves that our method can effectively improve the answer's quality. [ABSTRACT FROM AUTHOR]