Automatic Keyphrase Extraction from Scientific Chinese Medical Abstracts Based on Character-Level Sequence Labeling

Automatic keyphrase extraction (AKE) is an important task for grasping the main points of the text. In this paper, we aim to combine the benefits of sequence labeling formulation and pretrained language model to propose an automatic keyphrase extraction model for Chinese scientific research.

Bibliographic Details
Main Authors: Ding Liangping, Zhang Zhixiong, Liu Huan, Li Jie, Yu Gaihong
Format: Article
Language:English
Published: Sciendo 2021-03-01
Series:Journal of Data and Information Science
Subjects:
Online Access:https://doi.org/10.2478/jdis-2021-0013