Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

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 …

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 …

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 …

Modern models for event causality identification (ECI) are mainly based on supervised
learning, which are prone to the data lacking problem. Unfortunately, the existing NLP …

Modern models of event causality detection (ECD) are mainly based on supervised learning
from small hand-labeled corpora. However, hand-labeled training data is expensive to …

Current models for event causality identification (ECI) mainly adopt a supervised framework,
which heavily rely on labeled data for training. Unfortunately, the scale of current annotated …

We aim to comprehensively identify all the event causal relations in a document, both within
a sentence and across sentences, which is important for reconstructing pivotal event …