mlsanityData to 7 Oct 2026

Joint Reasoning for Temporal and Causal Relations

arXiv 1906.04941 ↗First posted 12 Jun 2019cs.CL cs.AI cs.IRcited by 60

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Abstract (arXiv)

Understanding temporal and causal relations between events is a fundamental natural language understanding task. Because a cause must be before its effect in time, temporal and causal relations are closely related and one relation even dictates the other one in many cases. However, limited attention has been paid to studying these two relations jointly. This paper presents a joint inference framework for them using constrained conditional models (CCMs). Specifically, we formulate the joint problem as an integer linear programming (ILP) problem, enforcing constraints inherently in the nature of time and causality. We show that the joint inference framework results in statistically significant improvement in the extraction of both temporal and causal relations from text.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jun 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 12; 2022: 10; 2023: 15; 2024: 13; 2025: 7; 2026: 3.

60 papers.

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  1. 2021NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actionscited by 735
  2. 2024Large Language Models Can Learn Temporal Reasoningcited by 110
  3. 2024Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoningcited by 83
  4. 2022MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extractioncited by 65
  5. 2021TIMEDIAL: Temporal Commonsense Reasoning in Dialogcited by 55
  6. 2023Test of Time: Instilling Video-Language Models with a Sense of Timecited by 51
  7. 2022e-CARE: a New Dataset for Exploring Explainable Causal Reasoningcited by 47
  8. 2023Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoningcited by 44
  9. 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relationscited by 39
  10. 2021Guided Generation of Cause and Effectcited by 33
  11. 2022RuCoLA: Russian Corpus of Linguistic Acceptabilitycited by 26
  12. 2021OntoED: Low-resource Event Detection with Ontology Embeddingcited by 23
38 more
  1. 2024RuBLiMP: Russian Benchmark of Linguistic Minimal Pairscited by 23
  2. 2023COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspectivecited by 22
  3. 2022ERGO: Event Relational Graph Transformer for Document-level Event Causality Identificationcited by 19
  4. 2023Improving Large Language Models in Event Relation Logical Predictioncited by 17
  5. 2022ROCK: Causal Inference Principles for Reasoning about Commonsense Causalitycited by 16
  6. 2022Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extractioncited by 15
  7. 2021Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysiscited by 14
  8. 2021Extracting Event Temporal Relations via Hyperbolic Geometrycited by 13
  9. 2024CausalEval: Towards Better Causal Reasoning in Language Modelscited by 13
  10. 2023OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understandingcited by 11
  11. 2023Event Temporal Relation Extraction with Bayesian Translational Modelcited by 10
  12. 2022Zero-Shot On-the-Fly Event Schema Inductioncited by 9
  13. 2023LLM4Causal: Democratized Causal Tools for Everyone via Large Language Modelcited by 9
  14. 2024From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verificationcited by 8
  15. 2021Knowledge-Augmented Language Models for Cause-Effect Relation Classificationcited by 7
  16. 2025NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmarkcited by 7
  17. 2024A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospectscited by 6
  18. 2021ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19cited by 5
  19. 2023tieval: An Evaluation Framework for Temporal Information Extraction Systemscited by 5
  20. 2023ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extractioncited by 5
  21. 2024Analysing zero-shot temporal relation extraction on clinical notes using temporal consistencycited by 5
  22. 2024The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoningcited by 5
  23. 2025MECD+: Unlocking Event-Level Causal Graph Discovery for Video Reasoningcited by 5
  24. 2021iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretabilitycited by 4
  25. 2023On Regularization and Inference with Label Constraintscited by 3
  26. 2025ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Modelscited by 3
  27. 2022Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Textscited by 2
  28. 2022NECE: Narrative Event Chain Extraction Toolkitcited by 2
  29. 2023TC-GAT: Graph Attention Network for Temporal Causality Discoverycited by 2
  30. 2023The Integer Linear Programming Inference Cookbookcited by 2
  31. 2024TacoERE: Cluster-aware Compression for Event Relation Extractioncited by 2
  32. 2024Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Networkcited by 2
  33. 2025Beyond Pairwise: Global Zero-shot Temporal Graph Generationcited by 2
  34. 2025QFrBLiMP: a Quebec-French Benchmark of Linguistic Minimal Pairscited by 2
  35. 2021SERC: Syntactic and Semantic Sequence based Event Relation Classificationcited by 1
  36. 2022Are All Steps Equally Important? Benchmarking Essentiality Detection of Eventscited by 1
  37. 2023A-CAP: Anticipation Captioning with Commonsense Knowledgecited by 1
  38. 2024Consistent Joint Decision-Making with Heterogeneous Learning Modelscited by 1

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