mlsanityData to 7 Oct 2026

Neural Open Information Extraction

arXiv 1805.04270 ↗First posted 11 May 2018cs.CLcited by 50

Not on the map. Why?

Abstract (arXiv)

Conventional Open Information Extraction (Open IE) systems are usually built on hand-crafted patterns from other NLP tools such as syntactic parsing, yet they face problems of error propagation. In this paper, we propose a neural Open IE approach with an encoder-decoder framework. Distinct from existing methods, the neural Open IE approach learns highly confident arguments and relation tuples bootstrapped from a state-of-the-art Open IE system. An empirical study on a large benchmark dataset shows that the neural Open IE system significantly outperforms several baselines, while maintaining comparable computational efficiency.

Key facts. Cited by 50 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 May 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 17; 2023: 13; 2024: 7; 2025: 3; 2026: 4.

50 papers.

Sort:

By area:

  1. 2023Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakescited by 101
  2. 2021Prototypical Representation Learning for Relation Extractioncited by 33
  3. 2022PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognitioncited by 29
  4. 2022A Survey on Neural Open Information Extraction: Current Status and Future Directionscited by 27
  5. 2022Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentationcited by 17
  6. 2021LSOIE: A Large-Scale Dataset for Supervised Open Information Extractioncited by 15
  7. 2022Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Datasetcited by 14
  8. 2021Conversational Entity Linking: Problem Definition and Datasetscited by 11
  9. 2022DetIE: Multilingual Open Information Extraction Inspired by Object Detectioncited by 11
  10. 2023An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmapcited by 11
  11. 2024MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Constructioncited by 11
  12. 2021DocOIE: A Document-level Context-Aware Dataset for OpenIEcited by 10
38 more
  1. 2022Active Relation Discovery: Towards General and Label-aware Open Relation Extractioncited by 10
  2. 2022Human-Centric Research for NLP: Towards a Definition and Guiding Questionscited by 9
  3. 2022Pre-training to Match for Unified Low-shot Relation Extractioncited by 8
  4. 2022A Survey on Open Information Extraction from Rule-based Model to Large Language Modelcited by 8
  5. 2023Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extractioncited by 8
  6. 2024Learning to Extract Structured Entities Using Language Modelscited by 8
  7. 2023SoK: Access Control Policy Generation from High-level Natural Language Requirementscited by 5
  8. 2022Cross-lingual Inference with A Chinese Entailment Graphcited by 4
  9. 2022When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applicationscited by 4
  10. 2022Syntactic Multi-view Learning for Open Information Extractioncited by 3
  11. 2023Multilingual Entity and Relation Extraction from Unified to Language-specific Trainingcited by 3
  12. 2023Syntactically Robust Training on Partially-Observed Data for Open Information Extractioncited by 3
  13. 2023PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extractioncited by 3
  14. 2023MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extractioncited by 3
  15. 2021Syntactic and Semantic-driven Learning for Open Information Extractioncited by 2
  16. 2021Explore BiLSTM-CRF-Based Models for Open Relation Extractioncited by 2
  17. 2023Open Information Extraction via Chunkscited by 2
  18. 2025In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysiscited by 2
  19. 2022IELM: An Open Information Extraction Benchmark for Pre-Trained Language Modelscited by 1
  20. 2023Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Pathcited by 1
  21. 2023InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extractioncited by 1
  22. 2023Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environmentcited by 1
  23. 2024Exploiting Duality in Open Information Extraction with Predicate Promptcited by 1
  24. 2025Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domaincited by 1
  25. 2026KV Cache Offloading for Context-Intensive Taskscited by 1
  26. 2022Towards Learning Through Open-Domain Dialogcited by 0
  27. 2022Collaborative Knowledge Graph Fusion by Exploiting the Open Corpuscited by 0
  28. 2022NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Languagecited by 0
  29. 2022Towards Generalized Open Information Extractioncited by 0
  30. 2023Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detectioncited by 0
  31. 2024Distantly Supervised Morpho-Syntactic Model for Relation Extractioncited by 0
  32. 2024Rules still work for Open Information Extractioncited by 0
  33. 2024Leveraging Linguistically Enhanced Embeddings for Open Information Extractioncited by 0
  34. 2024Knowledge Bases in Support of Large Language Models for Processing Web Newscited by 0
  35. 2025Challenges in Expanding Portuguese Resources: A View from Open Information Extractioncited by 0
  36. 2026TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluationcited by 0
  37. 2026Enoki: Efficient Multi-Level Hallucination Detectioncited by 0
  38. 2026DiffIE: Diffusion-based Open Information Extractioncited by 0