mlsanityData to 14 Oct 2026

A Survey on Neural Open Information Extraction: Current Status and Future Directions

arXiv 2205.11725 ↗First posted 24 May 2022cs.CLcited by 27

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Abstract (arXiv)

Open Information Extraction (OpenIE) facilitates domain-independent discovery of relational facts from large corpora. The technique well suits many open-world natural language understanding scenarios, such as automatic knowledge base construction, open-domain question answering, and explicit reasoning. Thanks to the rapid development in deep learning technologies, numerous neural OpenIE architectures have been proposed and achieve considerable performance improvement. In this survey, we provide an extensive overview of the-state-of-the-art neural OpenIE models, their key design decisions, strengths and weakness. Then, we discuss limitations of current solutions and the open issues in OpenIE problem itself. Finally we list recent trends that could help expand its scope and applicability, setting up promising directions for future research in OpenIE. To our best knowledge, this paper is the first review on this specific topic.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). Builds on 26 of its 59 references that are in the map. First posted on arXiv 24 May 2022.

Builds on

26 of 59 references.

References · 26

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
  4. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
  5. 2018A Survey on Deep Learning for Named Entity Recognitioncited by 282
  6. 2019DocRED: A Large-Scale Document-Level Relation Extraction Datasetcited by 239
  7. 2016Incorporating Copying Mechanism in Sequence-to-Sequence Learningcited by 218
  8. 2015Training Very Deep Networkscited by 173
  9. 2016Modeling Coverage for Neural Machine Translationcited by 110
  10. 2018A Survey on Open Information Extractioncited by 51
  11. 2018Neural Open Information Extractioncited by 50
  12. 2020A Survey of Deep Learning Techniques for Neural Machine Translationcited by 50
14 more
  1. 2020IMoJIE: Iterative Memory-Based Joint Open Information Extractioncited by 34
  2. 2019Span Model for Open Information Extraction on Accurate Corpuscited by 33
  3. 2019CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Informationcited by 28
  4. 2020Multi2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERTcited by 26
  5. 2019Collaborative Policy Learning for Open Knowledge Graph Reasoningcited by 18
  6. 2018WiRe57 : A Fine-Grained Benchmark for Open Information Extractioncited by 16
  7. 2019Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extractioncited by 15
  8. 2021DocOIE: A Document-level Context-Aware Dataset for OpenIEcited by 10
  9. 2017Analysing Errors of Open Information Extraction Systemscited by 7
  10. 2018Assertion-based QA with Question-Aware Open Information Extractioncited by 7
  11. 2019Open Information Extraction from Question-Answer Pairscited by 6
  12. 2018Open Information Extraction on Scientific Text: An Evaluationcited by 3
  13. 2019Improving Open Information Extraction via Iterative Rank-Aware Learningcited by 3
  14. 2021Syntactic and Semantic-driven Learning for Open Information Extractioncited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 4; 2023: 9; 2024: 4; 2025: 9; 2026: 1.

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  1. 2024HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Modelscited by 281
  2. 2023Large Language Models for Generative Information Extraction: A Surveycited by 185
  3. 2023Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakescited by 111
  4. 2024Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Constructioncited by 70
  5. 2025GFM-RAG: Graph Foundation Model for Retrieval Augmented Generationcited by 40
  6. 2025Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Surveycited by 18
  7. 2023Continual Multimodal Knowledge Graph Constructioncited by 15
  8. 2022Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Datasetcited by 14
  9. 2025Credible Plan-Driven RAG Method for Multi-Hop Question Answeringcited by 12
  10. 2023PIVOINE: Instruction Tuning for Open-world Information Extractioncited by 10
  11. 2023Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertaintycited by 8
  12. 2025Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extractioncited by 7
15 more
  1. 2025CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrievalcited by 5
  2. 2022When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applicationscited by 4
  3. 2022Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstrationcited by 3
  4. 2022Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Reviewcited by 3
  5. 2023Open Information Extraction via Chunkscited by 2
  6. 2023Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translationcited by 2
  7. 2025EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusioncited by 2
  8. 2023Towards Consistent Language Models Using Declarative Constraintscited by 1
  9. 2024Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Diseasecited by 1
  10. 2025Zero-Shot Open-Schema Entity Structure Discoverycited by 1
  11. 2025π-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answeringcited by 1
  12. 2025LLMs Meet Cross-Modal Time Series Analytics: Overview and Directionscited by 1
  13. 2023Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detectioncited by 0
  14. 2024Distantly Supervised Morpho-Syntactic Model for Relation Extractioncited by 0
  15. 2026Hybrid-IR: Dual-Path Hybrid Retrieval with Iterative Reasoning for Complex Medical Question Answeringcited by 0