Event Coreference Resolution
24 papers with code • 1 benchmarks • 3 datasets
Most implemented papers
Constrained Multi-Task Learning for Event Coreference Resolution
We propose a neural event coreference model in which event coreference is jointly trained with five tasks: trigger detection, entity coreference, anaphoricity determination, realis detection, and argument extraction.
Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference
We model the entities/events in a reader's focus as a neighborhood within a learned latent embedding space which minimizes the distance between mentions and the centroids of their gold coreference clusters.
Event Coreference Resolution for Contentious Politics Events
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries.
Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach
A timeline provides one of the most effective ways to visualize the important historical facts that occurred over a period of time, presenting the insights that may not be so apparent from reading the equivalent information in textual form.
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution
Event coreference models cluster event mentions pertaining to the same real-world event.
$2 * n$ is better than $n^2$: Decomposing Event Coreference Resolution into Two Tractable Problems
Event Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents.
How Good is the Model in Model-in-the-loop Event Coreference Resolution Annotation?
Annotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency.
CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities
Event coreference resolution (ECR) aims to group event mentions referring to the same real-world event into clusters.
Linear Cross-document Event Coreference Resolution with X-AMR
We then linearize the ECR with a novel multi-hop coreference algorithm over the event graphs.
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
Based on Pre-trained Language Models (PLMs), event coreference resolution (ECR) systems have demonstrated outstanding performance in clustering coreferential events across documents.