Papers with MECI

2 papers
MECI: A Multilingual Dataset for Event Causality Identification (2022.coling-1)

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Challenge: Event Causality Identification (ECI) is a task of detecting causal relations between events mentioned in text.
Approach: They propose a multilingual dataset that provides consistent annotations for event causality relations in five languages.
Outcome: The proposed dataset provides consistent annotation guidelines for five languages . the dataset can provide ample research challenges and directions for future research .
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering (2024.findings-emnlp)

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Challenge: Existing research on Event-Event Causal Relation Extraction (ECRE) has highlighted the lack of document-level modeling and causal hallucinations.
Approach: They propose a Knowledge-guided binary Question Answering method with event structures for ECRE that utilizes cross-task knowledge in IE.
Outcome: The proposed method achieves state-of-the-art on the MECI and MAVEN-ERE datasets.

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