Relation Extraction

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Overview

Relation extraction finds links such as causes, locations, interactions, and affiliations between entities or events, turning unstructured material into structured data for knowledge graphs and downstream analysis. Common approaches use supervised encoders and joint entity-relation models, while graph methods, large language model prompting or fine-tuning, and ontology constraints address document context, limited labels, and domain-specific schemas. Evaluation spans sentence-level benchmarks such as SemEval and FewRel, document-level datasets such as DocRED, and specialized biomedical, historical, financial, and multimodal settings. A central challenge is reliable generalization: systems may recognize a relation yet miss its exact spans, implicit evidence, or direction, and reported performance can depend on annotation completeness and evaluation rules.

Latest papers

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82 papers16 papers in the last four weeks, up 167% on the four weeks before. 0.1% of all new papers.

  1. GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction

    May 11, 2026Ihor Stepanov, Oleksandr Lukashov, Mykhailo Shtopko +1Relation ExtractionKG Construction

    Knowledgator Engineering, Kyiv, Ukraine · Baldor Technologies Pvt. Ltd. (IDfy), Mumbai, India

  2. TIJERE: A Novel Threat Intelligence Joint Extraction Model Based on Analyst Expert Knowledge

    May 3, 2026Inoussa Mouiche, Sherif SaadRelation ExtractionNamed Entity Recognition

    School of Computer Science, University of Windsor, 401 Sunset Ave, Windsor, N9B 3P4, ON, Canada

  3. Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques

    Apr 30, 2026Weikang Yang, S M Mazharul Hoque Chowdhury, Wei JinRelation ExtractionHealthcare

    Department of Computer Science, North Dakota State University, Fargo, USA · Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh · Department of Computer Science and Engineering, University of North Texas, Denton, USA

  4. Looking for the Bottleneck in Fine-grained Temporal Relation Classification

    Apr 27, 2026Hugo Sousa, Ricardo Campos, Alípio JorgeRelation Extraction

    University of Porto · INESC TEC · Porto, Portugal +1

  5. Emotion-Cause Pair Extraction in Conversations via Semantic Decoupling and Graph Alignment

    Apr 21, 2026Tianxiang Ma, Weijie Feng, Xinyu Wang +1Relation ExtractionEmotion Recognition in Conversations

    Hefei University of Technology

  6. ClimateCause: Complex and Implicit Causal Structures in Climate Reports

    Apr 16, 2026Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1Relation ExtractionClimate Science

    Department of Computer Science, KU Leuven, Belgium · Institute of Argumentation, Linguistics, and Semiotics (IALS), Universit`a della Svizzera italiana, Switzerland

  7. LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphs

    Apr 9, 2026Paolo Gajo, Domenic Rosati, Hassan Sajjad +1Relation ExtractionLLM Information Extraction

    University of Bologna · Dalhousie University

  8. HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy

    Apr 9, 2026Guoqi Ma, Liang Zhang, Hongyao Tu +6Relation ExtractionHierarchical Classification

    School of Informatics, Xiamen University · Li Auto Inc. · Alibaba International Digital Commerce Group

  9. LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction

    Apr 3, 2026Luc Pommeret, Thomas Gerald, Patrick Paroubek +3KG ConstructionRelation Extraction

    STL · Université Paris-Saclay, CNRS, LISN, 91400, Orsay, France · LISN +3

  10. Methods for Knowledge Graph Construction from Text Collections: Development and Applications

    Mar 26, 2026Vanni ZavarellaKG ConstructionDocument Information Extraction

  11. WISTERIA: Weak Implicit Signal-based Temporal Relation Extraction with Attention

    Mar 24, 2026Duy Dao Do, Anaïs Halftermeyer, Thi-Bich-Hanh DaoRelation ExtractionTemporal Reasoning

    University of Orléans, INSA Centre Val de Loire, LIFO EA 4022, France

  12. HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature

    Mar 24, 2026Devvrat Joshi, Islem RekikKG ConstructionRelation Extraction

    BASIRA Lab, Imperial-X (I-X) and Department of Computing Imperial College London, London, United Kingdom

  13. Code-MIE: A Code-style Model for Multimodal Information Extraction with Scene Graph and Entity Attribute Knowledge Enhancement

    Mar 21, 2026Jiang Liu, Ge Qiu, Hao Fei +5Relation Extraction

    Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University · University of Oxford · Wuhan Second Ship Design and Research Institute +1

  14. RexDrug: Reliable Multi-Drug Combination Extraction through Reasoning-Enhanced LLMs

    Mar 9, 2026Zhijun Wang, Ling Luo, Dinghao Pan +4Relation ExtractionClinical Information Extraction

    School of Computer Science and Technology, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Liaoning 116024, China · Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Liaoning 110042, China

  15. A Joint Neural Baseline for Concept, Assertion, and Relation Extraction from Clinical Text

    Mar 8, 2026Fei Cheng, Ribeka Tanaka, Sadao KurohashiClinical Information ExtractionRelation Extraction

    Kyoto University · Tokyo University of Technology · National Institute of Informatics

  16. Transparent AI for Mathematics: Transformer-Based Large Language Models for Mathematical Entity Relationship Extraction with XAI

    Mar 6, 2026Tanjim Taharat AurpaRelation Extraction

    Department of Data Science and Engineering, University of Frontier Technology, Bangladesh, .

  17. A Study on Building Efficient Zero-Shot Relation Extraction Models

    Mar 1, 2026Hugo Thomas, Caio Corro, Guillaume Gravier +1Relation ExtractionSelective Prediction

    Univ Rennes, INSA Rennes, CNRS, Inria, IRISA – UMR 6074, F-35042 Rennes, France

  18. A Dataset for Named Entity Recognition and Relation Extraction from Art-historical Image Descriptions

    Feb 22, 2026Stefanie Schneider, Miriam Göldl, Julian Stalter +1Named Entity RecognitionRelation Extraction

    Marburg University, Marburg, Germany · Ruhr University Bochum, Bochum, Germany · University of Munich, Munich, Germany

  19. CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts

    Feb 19, 2026Juri Opitz, Corina Raclé, Emanuela Boros +4Relation ExtractionHistorical Document Analysis

    University of Zurich, Switzerland · École Polytechnique Fédérale de Lausanne (EPFL), Switzerland · Swiss Art Research Infrastructure (SARI), University of Zurich

  20. Agentic AI for Clustering, Relationship Discovery, and Semantic Trading in Prediction Markets

    Dec 2, 2025Agostino Capponi, Alfio Gliozzo, Brian ZhuRelation ExtractionClustering

    Columbia University, Columbia Business School · IBM · Columbia University

  21. The Answer Lies Within: Self-Derived Rewards Enable Explainable Relation Extraction

    Oct 7, 2025Xinyu Guo, Zhengliang Shi, Minglai Yang +2Relation ExtractionStructured Reasoning in Language Models

    University of Arizona, Tucson, AZ, United States · Shandong University, Qingdao, China.

  22. SciNLP: A Domain-Specific Benchmark for Full-Text Scientific Entity and Relation Extraction in NLP

    Sep 9, 2025Decheng Duan, Yingyi Zhang, Jitong Peng +1Relation ExtractionNamed Entity Recognition

    Nanjing University of Science and Technology, China · Soochow University, China