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

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

Named Entity Recognition and Relation Extraction are two crucial and challenging subtasks
in Information Extraction. Despite the successes achieved by the traditional approaches …

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 …

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 crucial task in biomedical natural language
processing, aiming to identify molecular events involving genes, proteins, and other …

Extracting entities and relations from raw texts is a crucial and challenging task in the field of
Information Extraction. Despite the successes achieved by the traditional approaches …

Recently, research in the natural language processing (NLP) domain has achieved
remarkable advancements. Machines have become increasingly intelligent, achieving …

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