Big Data Research ›› 2024, Vol. 10 ›› Issue (4): 121-129.doi: 10.11959/j.issn.2096-0271.2024039

• APPLICATION • Previous Articles    

Construction of a paper-assistant reading system based on machine reading comprehension

Rongxin MI1, Wenwen YAO1, Hongkun RUAN2   

  1. 1 National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China
    2 Faculty of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Online:2024-07-01 Published:2024-07-01

Abstract:

In the era of informatization and digitization, the rapid increase in the number of scientific papers has given rise to various challenges, such as lengthy articles, difficulty in information extraction and high time costs associated with reading.Literature reading challenges for researchers are increasingly tedious and time-consuming.By utilizing the language models, the assited reading system of scientific papers has been designed to address these challenges.By adopting machine reading comprehension technology as the core, the system parses scientific texts and offers some common questions to achieve automated response capabilities.By fully utilizing the pre-trained language model PERT, the system enhances its capabilities in semantic understanding and information extraction, effectively resolving various challenges in reading scientific papers and helping readers improve the efficiency of scientific literature review.

Key words: natural language processing, machine reading comprehension, pre-trained language model

CLC Number: 

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