UNSUPERVISED TEXT SUMMARIZATION WITH REINFORCEMENT LEARNING

• Main Authors: KOHITA, RYOSUKE, WACHI, AKIFUMI
• Format: Patent
• Language: English; French
• Published: 25.11.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

A computer-implemented method is presented for performing Q-learning with language model for unsupervised text summarization. The method includes mapping each word of a sentence into a vector by using word embedding via a deep learning natural language processing model, assigning each of the words t...