As large language models continue to develop in the field of AI, text generation systems are
susceptible to a worrisome phenomenon known as hallucination. In this study, we …

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

Open-source threat intelligence is often unstructured and cannot be directly applied to the
next detection and defense. By constructing a knowledge graph through open-source threat …

Humankind's understanding of the world is fundamentally linked to our perception and
cognition, with\emph {human languages} serving as one of the major carriers of\emph {world …

Overlap situation where different triplets share entities or relations is a common challenge in
joint entity and relation extraction task. On the one hand, there is strong correlation between …

In this paper, we propose KnowCoder, a Large Language Model (LLM) to conduct Universal
Information Extraction (UIE) via code generation. KnowCoder aims to develop a kind of …

Open information extraction is an important NLP task that targets extracting structured
information from unstructured text without limitations on the relation type or the domain of the …

Natural Language Processing (NLP) plays a pivotal role in the realm of Digital Humanities
(DH) and serves as the cornerstone for advancing the structural analysis of historical and …

Medical Named Entity Recognition (NER) is a critical task in medical text processing. But
medical documents exhibit high variability in terms of language usage, abbreviations …

Information extraction is a very important task in natural language processing and is widely
used in various industries, but due to the ever-changing types of documents, there are still …