As a core task and an important link in the fields of natural language understanding and
information retrieval, information extraction (IE) can structure and semanticize unstructured …

ChatGPT has stimulated the research boom in the field of large language models. In this
paper, we assess the capabilities of ChatGPT from four perspectives including Performance …

We consider event extraction in a generative manner with template-based conditional
generation. Although there is a rising trend of casting the task of event extraction as a …

Information extraction (IE) aims to extract structural knowledge (such as entities, relations,
and events) from plain natural language texts. Recently, generative Large Language Models …

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 …

We present a study on leveraging multilingual pre-trained generative language models for
zero-shot cross-lingual event argument extraction (EAE). By formulating EAE as a language …

Event trigger detection, entity mention recognition, event argument extraction, and relation
extraction are the four important tasks in information extraction that have been performed …

Relation extraction (RE) models have been challenged by their reliance on training data
with expensive annotations. Considering that summarization tasks aim at acquiring concise …

Recent work on Event Extraction has reframed the task as Question Answering (QA), with
promising results. The advantage of this approach is that it addresses the error propagation …

Abstract Large Language Model (LLM) trained on the mixture of text and code has
demonstrated impressive capability in translating natural language (NL) into structured …