Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …

Label projection, which involves obtaining translated labels and texts jointly, is essential for
leveraging machine translation to facilitate cross-lingual transfer in structured prediction …

Question Under Discussion (QUD) is a discourse framework that uses implicit questions to
reveal discourse relationships between sentences. In QUD parsing, each sentence is …

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

Prior works formulate the extraction of event-specific arguments as a span extraction
problem, where event arguments are explicit--ie assumed to be contiguous spans of text in a …

As internet information expands rapidly, extracting valuable event information from
unstructured text has become an important research topic. This paper proposes an improved …

With the advancement of multimedia technologies, news documents and user-generated
content are often represented as multiple modalities, making Multimedia Event Extraction …

Biomedical Event Extraction (BEE) is a challenging task that involves modeling complex
relationships between fine-grained entities in biomedical text. BEE has traditionally been …

Biomedical Event Extraction (BEE) is a critical task that involves modeling complex
relationships between finegrained entities in biomedical text data. However, most existing …