mlsanityData to 14 Oct 2026

Enriching Pre-trained Language Model with Entity Information for Relation Classification

arXiv 1905.08284 ↗First posted 20 May 2019cs.CLcited by 82

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Abstract (arXiv)

Relation classification is an important NLP task to extract relations between entities. The state-of-the-art methods for relation classification are primarily based on Convolutional or Recurrent Neural Networks. Recently, the pre-trained BERT model achieves very successful results in many NLP classification / sequence labeling tasks. Relation classification differs from those tasks in that it relies on information of both the sentence and the two target entities. In this paper, we propose a model that both leverages the pre-trained BERT language model and incorporates information from the target entities to tackle the relation classification task. We locate the target entities and transfer the information through the pre-trained architecture and incorporate the corresponding encoding of the two entities. We achieve significant improvement over the state-of-the-art method on the SemEval-2010 task 8 relational dataset.

Key facts. Cited by 82 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 May 2019.

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Citing papers per year: 2021: 28; 2022: 16; 2023: 16; 2024: 14; 2025: 7; 2026: 1.

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  1. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 463
  2. 2021RadGraph: Extracting Clinical Entities and Relations from Radiology Reportscited by 319
  3. 2021KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extractioncited by 180
  4. 2021WRENCH: A Comprehensive Benchmark for Weak Supervisioncited by 96
  5. 2023A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4cited by 81
  6. 2022RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extractioncited by 60
  7. 2021ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learningcited by 46
  8. 2021Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Reviewcited by 35
  9. 2023MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modelingcited by 35
  10. 2021An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learningcited by 31
  11. 2022Summarization as Indirect Supervision for Relation Extractioncited by 31
  12. 2023Revisiting Large Language Models as Zero-shot Relation Extractorscited by 29
38 more
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  2. 2021NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Predictioncited by 23
  3. 2023A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontierscited by 22
  4. 2023BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysiscited by 18
  5. 2022TAGPRIME: A Unified Framework for Relational Structure Extractioncited by 15
  6. 2023RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extractioncited by 13
  7. 2023Construction of Knowledge Graphs: State and Challengescited by 12
  8. 2022ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Conceptscited by 10
  9. 2022The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteriacited by 10
  10. 2023On the Evolution of Knowledge Graphs: A Survey and Perspectivecited by 10
  11. 2024Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Promptingcited by 10
  12. 2021Multi-view Inference for Relation Extraction with Uncertain Knowledgecited by 8
  13. 2021Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentationcited by 8
  14. 2023Learning to Substitute Ingredients in Recipescited by 8
  15. 2024PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakerscited by 8
  16. 2021Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from textscited by 7
  17. 2021Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extractioncited by 7
  18. 2021Knowledge-Augmented Language Models for Cause-Effect Relation Classificationcited by 7
  19. 2024CHisIEC: An Information Extraction Corpus for Ancient Chinese Historycited by 7
  20. 2024FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answeringcited by 7
  21. 2021A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Taskcited by 6
  22. 2022A Generative Model for Relation Extraction and Classificationcited by 5
  23. 2022It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifierscited by 5
  24. 2023Trace and Edit Relation Associations in GPTcited by 4
  25. 2021Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Datacited by 3
  26. 2024Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Languagecited by 3
  27. 2021CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Textscited by 2
  28. 2021Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognitioncited by 2
  29. 2021R-BERT-CNN: Drug-target interactions extraction from biomedical literaturecited by 2
  30. 2022MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extractioncited by 2
  31. 2024Knowledge-Driven Cross-Document Relation Extractioncited by 2
  32. 2021EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Informationcited by 1
  33. 2021ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Contextcited by 1
  34. 2021Speaker-Oriented Latent Structures for Dialogue-Based Relation Extractioncited by 1
  35. 2022Modeling Multi-Granularity Hierarchical Features for Relation Extractioncited by 1
  36. 2022TERMinator: A system for scientific texts processingcited by 1
  37. 2023Dynamic Multi-View Fusion Mechanism For Chinese Relation Extractioncited by 1
  38. 2023Open Set Relation Extraction via Unknown-Aware Trainingcited by 1

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