Document-level causal relation extraction with knowledge-guided binary question answering
As an essential task in information extraction (IE), Event-Event Causal Relation Extraction
(ECRE) aims to identify and classify the causal relationships between event mentions in …
(ECRE) aims to identify and classify the causal relationships between event mentions in …
Modeling correlated causal-effect structure with a hypergraph for document-level event causality identification
Document-level event causality identification (ECI) aims to detect causal relations in
between event mentions in a document. Existing approaches for document-level event …
between event mentions in a document. Existing approaches for document-level event …
[HTML][HTML] EiGC: An Event-Induced Graph with Constraints for Event Causality Identification
Event causality identification (ECI) focuses on detecting causal relationships between
events within a document. Existing approaches typically treat each event-mention pair …
events within a document. Existing approaches typically treat each event-mention pair …
PTEKC: pre-training with event knowledge of ConceptNet for cross-lingual event causality identification
E Zhu, Z Yu, Y Huang, S Gao, Y **an - International Journal of Machine …, 2024 - Springer
Event causality identification (ECI) aims to identify causal relations between events in texts.
Although existing event causality identification works based on fine-tuning pre-trained …
Although existing event causality identification works based on fine-tuning pre-trained …
A Survey of Event Causality Identification: Principles, Taxonomy, Challenges, and Assessment
Z Zeng, Q Cheng, X Hu, Y Si, Z Liu - arxiv preprint arxiv:2411.10371, 2024 - arxiv.org
Event Causality Identification (ECI) has become a crucial task in Natural Language
Processing (NLP), aimed at automatically extracting causalities from textual data. In this …
Processing (NLP), aimed at automatically extracting causalities from textual data. In this …
Low-Resource Causal Relation Extraction with Semi-Supervised LLM Augmentation and Validation
X Liu, Y Li, Z Li, Z He, L Liang… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Identifying causal relations in plain text is crucial for constructing knowledge graphs, as
these relationships enhance our understanding of unstructured data. Traditional methods for …
these relationships enhance our understanding of unstructured data. Traditional methods for …