Event Coreference

Event coreference resolution (ECR) aims to identify and group mentions of the same real-world event within text, improving information extraction and analysis. Current research focuses on developing more robust and generalizable models, including graph autoencoder networks and those leveraging commonsense reasoning to handle lexically diverse mentions, often evaluated across multiple languages and datasets. Challenges remain in achieving consistent performance across different domains and languages, highlighting the need for standardized evaluation methods and larger, more diverse datasets. Improved ECR techniques have significant implications for applications such as information retrieval, event summarization, and the analysis of large-scale event data.