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Event Causality Identification
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A Survey of Event Causality Identification: Principles, Taxonomy, Challenges, and Assessment
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
Identifying while Learning for Document Event Causality Identification
In-context Contrastive Learning for Event Causality Identification
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation
Event Causality Is Key to Computational Story Understanding
DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification
Semantic Structure Enhanced Event Causality Identification
Event Causality Extraction with Event Argument Correlations
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022
IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model
IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
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