The task of resolving repeated objects in natural languages is known as coreference
resolution, and it is an important part of modern natural language processing. It is classified …

Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …

The diverse relationships among real-world events, including coreference, temporal, causal,
and subevent relations, are fundamental to understanding natural languages. However, two …

Despite recent promising results on the application of span-based models for event
reference interpretation, there is a lack of understanding of what has been improved. We …

Event coreference resolution (ECR) aims to group event mentions referring to the same real-
world event into clusters. Most previous studies adopt the" encoding first, then scoring" …

Large Language Models (LLMs) have demonstrated proficiency in a wide array of natural
language processing tasks. However, its effectiveness over discourse-level event relation …

We examine the extent to which supervised bridging resolvers can be improved without
employing additional labeled bridging data by proposing a novel constrained multi-task …

Previous attempts to incorporate a mention detection step into end-to-end neural
coreference resolution for English have been hampered by the lack of singleton mention …

Event coreference resolution (ECR) is a critical task in information extraction of natural
language processing, aiming to identify and link event mentions across multiple documents …

Event Coreference Resolution (ECR) is the task of clustering event mentions that refer to the
same real-world event. Despite significant advancements, ECR research faces two main …