Neural relation extraction: a survey

2020/06/23 by Mehmet Aydar, Aydar, Mehmet, Özge Bozal +3 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2007.04247

openalex publication_date 2020/06/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

Citations

• Relation Classification via Recurrent Neural Network
• Solving the multiple instance problem with axis-parallel rectangles
• Prototypical Networks for Few-shot Learning
• A Survey of Deep Learning Methods for Relation Extraction
• Universal Sentence Encoder

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