Causal reasoning ability is crucial for numerous NLP applications. Despite the impressive
emerging ability of ChatGPT in various NLP tasks, it is unclear how well ChatGPT performs …

Event extraction (EE) is a crucial research task for promptly apprehending event information
from massive textual data. With the rapid development of deep learning, EE based on deep …

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 …

Identifying causal relations of events is an important task in natural language processing
area. However, the task is very challenging, because event causality is usually expressed in …

Event is a common but non-negligible knowledge type. How to identify events from texts,
extract their arguments, even analyze the relations between different events are important …

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

Identifying causal relations of events is a crucial language understanding task. Despite
many efforts for this task, existing methods lack the ability to adopt background knowledge …

We study the problem of Event Causality Identification (ECI) to detect causal relation
between event mention pairs in text. Although deep learning models have recently shown …

Event causality identification (ECI) aims to identify causal relations of event mention pairs in
text. Despite achieving certain accomplishments, existing methods are still not effective due …

Researchers in natural language processing are paying more attention to causality mining.
Numerous applications of the growing need for efficient and accurate causality mining …