• Pawar et al 2017 - Relation Extraction : A Survey Very good survey
• Smirnova & Cudre-Mauroux 2018 - Relation Extraction Using Distant Supervision: A Survey
• Zhang et al 2020 - A Survey Deep Learning Based Relation Extraction

• Miwa & Bansal 2016 - End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
• Peng et al 2017 - Cross-Sentence N-ary Relation Extraction with Graph LSTMs
• With LLMs
  • Wan et al 2023 - GPT-RE: In-context Learning for Relation Extraction using Large Language Models

For an overview see section 6 of this paper.

• Banko et al 2007 - Open Information Extraction from the Web The paper that introduced the task of OpenIE. Their system was called TextRunner. Precurser to NELL? Their design is very similar, see this paper. NELL's learning method (and knowledge integrator) is similar to TextRunner's 3 modules (and redundancy-based assessor).
• Lockard et al 2019 - OpenCeres: When Open Information Extraction Meets the Semi-Structured Web

• Information Extraction