| In the era of big data,in order to make the computer more "smart",computer scientists hope to be able to understand text data as people can understand and answer the questions raised automatically.It is impossible for a machine to understand the text and answer the question automatically by a text matching technique.Answering problems need concepts,knowledge and reasoning.Before machines understand texts,they also need to "attach relevant information" to be called text annotation.At present,Natural Language Processing has transferred from syntax to semantics and pragmatics,reading comprehension system,and it also needs to rely on semantic annotation.The Institute's research team is building the Chinese FrameNet(CFN)and studying its application in machine reading comprehension.There are many kinds of semantic studies.This research team has done CFN semantic research,and semantic research has provided support for the study of reading comprehension.CFN semantic annotation is a framework stirred by target words,a framework can describe the semantics of a sentence,and CFN semantics is tagged in sentences.Therefore,we need to divide the reading comprehension test into sentences before marking the reading comprehension test.At present,the test question management system of the Chinese reading comprehension of the college entrance examination is to serve the frame semantic annotation personnel by dividing the reading comprehension test questions into sentences.The system realizes the registration logon,the chinese volume management,the reading comprehension test management,the sentence management,the sentence of reading comprehension chapter management,the user information management function.The main tasks completed in this study are as follows:(1)System requirements analysis,analysis of the management system functions and performance,and determine the development environment ofthe system.(2)Design the system,design the function structure diagram,design the database table,and realize the function of the system.(3)Analysis of a large number of Chinese college entrance examination volumes,determine the reading comprehension test in the college entrance examination Chinese roll recognition rules,and design and implementation.(4)According to machine reading requirements and semantic annotation requirements,we study and determine the rules of the system to divide sentences,and design and implement them.(5)Test and optimize the system.The system can not only satisfy the efficient management of the reading comprehension test of the college entrance examination volume,but also provides convenience for the frame semantic annotation staff.The reading comprehension of the tagged sentences in this system can not only be used as a study object,but also can be further studied as a reading comprehension chapter. |