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Found 5 papers, 3 papers with code
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation
Recent studies, which employ pre-trained language models to auto-regressively generate linearised graphs for constructing event temporal graphs, have shown promising results.
Event Temporal Relation Extraction with Bayesian Translational Model
Existing models to extract temporal relations between events lack a principled method to incorporate external knowledge.
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation
Our proposed model utilizes an invertible transformation matrix to project semantic vectors of events into a common event embedding space, trained with contrastive learning, and thus naturally inject event semantic knowledge into mainstream QA pipelines.
Extracting Event Temporal Relations via Hyperbolic Geometry
Recent neural approaches to event temporal relation extraction typically map events to embeddings in the Euclidean space and train a classifier to detect temporal relations between event pairs.
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks
Aspect-level sentiment classification, which is a fine-grained sentiment analysis task, has received lots of attention these years.
