mlsanityData to 13 Oct 2026

Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource

arXiv 1804.06020 ↗First posted 17 Apr 2018cs.AIcited by 17

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Abstract (arXiv)

Extracting temporal relations (before, after, overlapping, etc.) is a key aspect of understanding events described in natural language. We argue that this task would gain from the availability of a resource that provides prior knowledge in the form of the temporal order that events usually follow. This paper develops such a resource -- a probabilistic knowledge base acquired in the news domain -- by extracting temporal relations between events from the New York Times (NYT) articles over a 20-year span (1987--2007). We show that existing temporal extraction systems can be improved via this resource. As a byproduct, we also show that interesting statistics can be retrieved from this resource, which can potentially benefit other time-aware tasks. The proposed system and resource are both publicly available.

Key facts. Cited by 17 papers in the map (data through 13 Oct 2026). First posted on arXiv 17 Apr 2018.

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Citing papers per year: 2021: 3; 2022: 3; 2023: 7; 2024: 1; 2025: 1; 2026: 2.

17 papers.

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  1. 2021TIMEDIAL: Temporal Commonsense Reasoning in Dialogcited by 55
  2. 2023Zero-shot Temporal Relation Extraction with ChatGPTcited by 52
  3. 2022ROCK: Causal Inference Principles for Reasoning about Commonsense Causalitycited by 16
  4. 2022Go Back in Time: Generating Flashbacks in Stories with Event Temporal Promptscited by 15
  5. 2022Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extractioncited by 15
  6. 2021Extracting Event Temporal Relations via Hyperbolic Geometrycited by 13
  7. 2023Event Temporal Relation Extraction with Bayesian Translational Modelcited by 10
  8. 2023An Overview Of Temporal Commonsense Reasoning and Acquisitioncited by 10
  9. 2021ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19cited by 5
  10. 2023tieval: An Evaluation Framework for Temporal Information Extraction Systemscited by 5
  11. 2023Open-Domain Event Graph Induction for Mitigating Framing Biascited by 3
  12. 2024Event Temporal Relation Extraction based on Retrieval-Augmented on LLMscited by 3
5 more
  1. 2023The Integer Linear Programming Inference Cookbookcited by 2
  2. 2023Causal schema induction for knowledge discoverycited by 0
  3. 2025Structured yet Bounded Temporal Understanding in Large Language Modelscited by 0
  4. 2026Looking for the Bottleneck in Fine-grained Temporal Relation Classificationcited by 0
  5. 2026Event Interaction in Low-Rank Bottlenecks for Temporal Relation Extractioncited by 0