mlsanityData to 14 Oct 2026

LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

arXiv 2101.11177 ↗First posted 27 Jan 2021cs.CL cs.AIcited by 15

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Abstract (arXiv)

Open Information Extraction (OIE) systems seek to compress the factual propositions of a sentence into a series of n-ary tuples. These tuples are useful for downstream tasks in natural language processing like knowledge base creation, textual entailment, and natural language understanding. However, current OIE datasets are limited in both size and diversity. We introduce a new dataset by converting the QA-SRL 2.0 dataset to a large-scale OIE dataset (LSOIE). Our LSOIE dataset is 20 times larger than the next largest human-annotated OIE dataset. We construct and evaluate several benchmark OIE models on LSOIE, providing baselines for future improvements on the task. Our LSOIE data, models, and code are made publicly available

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 10 of its 22 references that are in the map. First posted on arXiv 27 Jan 2021.

Builds on

10 of 22 references.

References · 10

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  3. 2018AllenNLP: A Deep Semantic Natural Language Processing Platformcited by 347
  4. 2019Simple BERT Models for Relation Extraction and Semantic Role Labelingcited by 154
  5. 2018Neural Open Information Extractioncited by 50
  6. 2018Large-Scale QA-SRL Parsingcited by 45
  7. 2019OPIEC: An Open Information Extraction Corpuscited by 20
  8. 2018WiRe57 : A Fine-Grained Benchmark for Open Information Extractioncited by 16
  9. 2019OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inferencecited by 9
  10. 2019Improving Open Information Extraction via Iterative Rank-Aware Learningcited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 7; 2023: 4; 2024: 2; 2025: 0; 2026: 2.

15 papers.

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  1. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  2. 2022DetIE: Multilingual Open Information Extraction Inspired by Object Detectioncited by 11
  3. 2022A Survey on Open Information Extraction from Rule-based Model to Large Language Modelcited by 8
  4. 2023Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extractioncited by 8
  5. 2022Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Datasetcited by 6
  6. 2022When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applicationscited by 4
  7. 2022Syntactic Multi-view Learning for Open Information Extractioncited by 3
  8. 2023Open Information Extraction via Chunkscited by 2
  9. 2022Towards Generalized Open Information Extractioncited by 0
  10. 2023Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detectioncited by 0
  11. 2023Learning Semantic Role Labeling from Compatible Label Sequencescited by 0
  12. 2024Leveraging Linguistically Enhanced Embeddings for Open Information Extractioncited by 0
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  1. 2024textitBenchIEFL : A Manually Re-Annotated Fact-Based Open Information Extraction Benchmarkcited by 0
  2. 2026Enoki: Efficient Multi-Level Hallucination Detectioncited by 0
  3. 2026DiffIE: Diffusion-based Open Information Extractioncited by 0