As an essential task in information extraction (IE), Event-Event Causal Relation Extraction
(ECRE) aims to identify and classify the causal relationships between event mentions in …

Event Factuality Detection (EFD) task determines the factuality of textual events, ie,
classifying whether an event is a fact, possibility, or impossibility, which is essential for …

Event relation extraction (ERE) is becoming increasingly important in the era of large
language models. An extensive body of research has explored how performance can be …

Knowledge editing aims at updating knowledge of large language models (LLMs) to prevent
them from becoming outdated. Existing work edits LLMs at the level of factual knowledge …

Event extraction aims to identify events and then extract the arguments involved in those
events. In recent years, there has been a gradual shift from sentence-level event extraction …

Extracting structured event knowledge, including event triggers and corresponding
arguments, from military texts is fundamental to many applications, such as intelligence …

We introduce event-keyed summarization (EKS), a novel task that marries traditional
summarization and document-level event extraction, with the goal of generating a …

This paper aims to map out the current landscape of generative approaches to the task of
event extraction. In surveying the emerging literature on the topic, we identify the distinctive …

In the international relations and foreign policy research, international negotiation data is of
great importance for assisting scholars in analyzing patterns of interaction between nations …