Event Causality Identification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• COLD: Causal reasOning in cLosed Daily activities
  29 Nov 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Large Language Models (LLMs) have shown state-of-the-art performance in a variety of tasks, including arithmetic and reasoning; however, to gauge the intellectual capabilities of LLMs, causal reasoning has become a…
• Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
  20 Sep 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  However, these approaches fall short in two dimensions: (1) causal features between events in a text often lack explicit clues, and (2) external knowledge may introduce bias, while specific problems require tailored…
• Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
  26 Jun 2024 1 repository listed
  The inherent ambiguity of cause and effect boundaries poses a challenge in evaluating causal event extraction tasks.
• Identifying while Learning for Document Event Causality Identification
  31 May 2024 1 repository listed
  Event Causality Identification (ECI) aims to detect whether there exists a causal relation between two events in a document.
• In-context Contrastive Learning for Event Causality Identification
  17 May 2024 1 repository listed
  Motivated from such considerations, this paper proposes an In-Context Contrastive Learning (ICCL) model that utilizes contrastive learning to enhance the effectiveness of both positive and negative demonstrations.
• BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation
  11 Dec 2023 1 repository listed
  Understanding causality is a core aspect of intelligence.
• Event Causality Is Key to Computational Story Understanding
  16 Nov 2023 1 repository listed Syntology ran 6 of 9 samples · 3 unverified · 9 pointer-only (licence)
  Cognitive science and symbolic AI research suggest that event causality provides vital information for story understanding.
• Event Causality Extraction with Event Argument Correlations
  27 Jan 2023 1 repository listed
  Event Causality Identification (ECI), which aims to detect whether a causality relation exists between two given textual events, is an important task for event causality understanding.
• Event Causality Identification via Derivative Prompt Joint Learning
  1 Oct 2022 1 repository listed
  This paper studies event causality identification, which aims at predicting the causality relation for a pair of events in a sentence.
• MECI: A Multilingual Dataset for Event Causality Identification
  1 Oct 2022 1 repository listed
  Our dataset thus enable a new research direction on cross-lingual transfer learning for ECI.
• IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
  8 Sep 2022 1 repository listed
  In this paper, we describe our participation in the subtask 1 of CASE-2022, Event Causality Identification with Casual News Corpus.
• IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model
  8 Sep 2022 1 repository listed
  In this paper, we describe our shared task submissions for Subtask 2 in CASE-2022, Event Causality Identification with Casual News Corpus.
• Event Causality Identification via Generation of Important Context Words
  1 Jul 2022 1 repository listed
  To facilitate the multi-task learning, we cast ECI into a generation problem that aims to generate both causal relation and dependency path words from input sentence.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.