Neural relation extraction: a survey
arXiv:2007.04247v113 citations
AI Analysis
This is an incremental survey that synthesizes existing knowledge for researchers in natural language processing and information extraction.
The paper provides a comprehensive review of neural network-based methods for relation extraction, analyzing their strengths and weaknesses and suggesting future research directions.
Neural relation extraction discovers semantic relations between entities from unstructured text using deep learning methods. In this study, we present a comprehensive review of methods on neural network based relation extraction. We discuss advantageous and incompetent sides of existing studies and investigate additional research directions and improvement ideas in this field.