Medical text simplification using reinforcement learning (teslea): deep learning-based text simplification approach

HIGHLIGHTS

• who: Unknown from the Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada have published the Article: Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning-Based Text Simplification Approach, in the Journal: (JOURNAL)
• what: The model was trained using 3568 complex-simple paragraphs and evaluated on 480 paragraphs via the help of automated metrics and human annotation. The aim of this study is to develop an automatic TS approach that is capable of simplifying medical text data at a paragraph level, with the goal of providing greater accessibility of biomedical research. A variant . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.