Over the last few years, large language models (LLMs) have emerged as the most important
breakthroughs in natural language processing (NLP) that fundamentally transform research …

A key technology for the development of large language models (LLMs) involves instruction
tuning that helps align the models' responses with human expectations to realize impressive …

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

Event argument extraction (EAE) is a sub-task of event extraction where the goal is to
identify roles of entity mentions for events in text. The current state-of-the-art approaches for …

While traditional manual knowledge management methods indicate the intelligent approach
in the whole-process engineering consulting, related studies like NLP technologies still …

Translating training data into target languages has proven beneficial for cross-lingual
transfer. However, for structure extraction tasks, translating data requires a label projection …

Cross-lingual transfer-learning is widely used in Event Extraction for low-resource
languages and involves a Multilingual Language Model that is trained in a source language …

There is a large and growing body of literature on datasets created to facilitate the study of
socio-political events of conflict and unrest. However, the datasets, and the approaches …

An extensive label system is pivotal to facilitate judicial fairness and social justice. Prior
empirical research and our interview with legal professionals underscore the importance of …

As a pivotal task in natural language processing, element extraction has gained significance
in the legal domain. Extracting legal elements from judicial documents helps enhance …