In-context learning (ICL) has become the default method for using large language models
(LLMs), making the exploration of its limitations and understanding the underlying causes …

Understanding events in texts is a core objective of natural language understanding, which
requires detecting event occurrences, extracting event arguments, and analyzing inter-event …

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 extraction has gained considerable interest due to its wide-ranging applications.
However, recent studies draw attention to evaluation issues, suggesting that reported scores …

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

Event extraction has gained extensive research attention due to its broad range of
applications. However, the current mainstream evaluation method for event extraction relies …

Event linking connects event mentions in text with relevant nodes in a knowledge base (KB).
Prior research in event linking has mainly borrowed methods from entity linking, overlooking …

Abstract Event Coreference Resolution (ECR) aims to group same event mentions into a
cluster. Previous work on capturing multi-dimensional event information focused on rule …

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 …

Relation Extraction (RE) is an essential task that involves comprehending relational facts
between entities from natural language texts. However, existing research in RE, particularly …