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Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction

arXiv 1909.05360 ↗First posted 2 Sep 2019cs.CL cs.AIcited by 52

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Abstract (arXiv)

We propose a joint event and temporal relation extraction model with shared representation learning and structured prediction. The proposed method has two advantages over existing work. First, it improves event representation by allowing the event and relation modules to share the same contextualized embeddings and neural representation learner. Second, it avoids error propagation in the conventional pipeline systems by leveraging structured inference and learning methods to assign both the event labels and the temporal relation labels jointly. Experiments show that the proposed method can improve both event extraction and temporal relation extraction over state-of-the-art systems, with the end-to-end F1 improved by 10% and 6.8% on two benchmark datasets respectively.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Sep 2019.

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Citing papers per year: 2021: 15; 2022: 13; 2023: 11; 2024: 7; 2025: 6.

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  1. 2023"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letterscited by 196
  2. 2021DEGREE: A Data-Efficient Generation-Based Event Extraction Modelcited by 82
  3. 2023Zero-shot Temporal Relation Extraction with ChatGPTcited by 52
  4. 2023Test of Time: Instilling Video-Language Models with a Sense of Timecited by 51
  5. 2023Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Modelscited by 37
  6. 2021Men Are Elected, Women Are Married: Events Gender Bias on Wikipediacited by 30
  7. 2021ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualitiescited by 28
  8. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 27
  9. 2021Identifying Morality Frames in Political Tweets using Relational Learningcited by 26
  10. 2021Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networkscited by 22
  11. 2022NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challengecited by 20
  12. 2022DICE: Data-Efficient Clinical Event Extraction with Generative Modelscited by 20
38 more
  1. 2021What is Event Knowledge Graph: A Surveycited by 19
  2. 2022Generic Temporal Reasoning with Differential Analysis and Explanationcited by 18
  3. 2021EventPlus: A Temporal Event Understanding Pipelinecited by 17
  4. 2021Extracting Temporal Event Relation with Syntax-guided Graph Transformercited by 16
  5. 2022Go Back in Time: Generating Flashbacks in Stories with Event Temporal Promptscited by 15
  6. 2022Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extractioncited by 15
  7. 2021Salience-Aware Event Chain Modeling for Narrative Understandingcited by 14
  8. 2023More than Classification: A Unified Framework for Event Temporal Relation Extractioncited by 14
  9. 2021Extracting Event Temporal Relations via Hyperbolic Geometrycited by 13
  10. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  11. 2023OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understandingcited by 11
  12. 2023Event Temporal Relation Extraction with Bayesian Translational Modelcited by 10
  13. 2022Zero-Shot On-the-Fly Event Schema Inductioncited by 9
  14. 2022Reasoning about Procedures with Natural Language Processing: A Tutorialcited by 8
  15. 2024Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generationcited by 8
  16. 2022Distilling Multi-Scale Knowledge for Event Temporal Relation Extractioncited by 6
  17. 2022Controllable Text Generation for Open-Domain Creativity and Fairnesscited by 6
  18. 2022A Solver-Free Framework for Scalable Learning in Neural ILP Architecturescited by 5
  19. 2023Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learningcited by 5
  20. 2025Event Extraction in Large Language Modelcited by 5
  21. 2021Randomized Deep Structured Prediction for Discourse-Level Processingcited by 4
  22. 2022Learning Action Conditions from Instructional Manuals for Instruction Understandingcited by 4
  23. 2025Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approachcited by 4
  24. 2022Event Extraction: A Surveycited by 3
  25. 2023Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answeringcited by 3
  26. 2024Sentence-level Media Bias Analysis with Event Relation Graphcited by 3
  27. 2024Cascading Large Language Models for Salient Event Graph Generationcited by 3
  28. 2024Formulation Comparison for Timeline Construction using LLMscited by 2
  29. 2024TacoERE: Cluster-aware Compression for Event Relation Extractioncited by 2
  30. 2025Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigationcited by 2
  31. 2021Modeling "Newsworthiness" for Lead-Generation Across Corporacited by 1
  32. 2021SERC: Syntactic and Semantic Sequence based Event Relation Classificationcited by 1
  33. 2024TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systemscited by 1
  34. 2025Transformer-Based Temporal Information Extraction and Application: A Reviewcited by 1
  35. 2025Mapping the Course for Prompt-based Structured Predictioncited by 1
  36. 2021STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Modelscited by 0
  37. 2022Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Modelcited by 0
  38. 2023Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximizationcited by 0

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