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 …

Recent years have seen a gradual shift of focus from entity-based tasks to event-based tasks
in information extraction research. Being a core event-based task, event coreference …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Abstract Knowledge graphs have gained increasing popularity in the past couple of years,
thanks to their adoption in everyday search engines. Typically, they consist of fairly static …

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 …

This paper reports on the Event StoryLine Corpus (ESC) v1. 0, a new benchmark dataset for
the temporal and causal relation detection. By developing this dataset, we also introduce a …

There have been a wide range of recent annotated corpora concerning events, either
regarding event coreference, the temporal order of events, hierarchical “subevent” structure …

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

Recognizing coreferring events and entities across multiple texts is crucial for many NLP
applications. Despite the task's importance, research focus was given mostly to within …

In this paper, we present the NewsReader MEANTIME corpus, a semantically annotated
corpus of Wikinews articles. The corpus consists of 480 news articles, ie 120 English news …