Large Language Models (LLMs) usually suffer from knowledge cutoff or fal...
Blockchain has been deemed as a promising solution for providing securit...
This paper presents an empirical study to build relation extraction syst...
Knowledge Graphs (KGs) often have two characteristics: heterogeneous gra...
Knowledge graph completion aims to address the problem of extending a KG...
Previous knowledge graph embedding approaches usually map entities to
re...
We present a new open-source and extensible knowledge extraction toolkit...
We explore the problem of selectively forgetting categories from trained...
Most existing NER methods rely on extensive labeled data for model train...
Artificial Intelligence (AI), along with the recent progress in biomedic...
Document-level relation extraction aims to extract relations among multi...
In this paper, we reformulate the relation extraction task as mask langu...
Although the self-supervised pre-training of transformer models has resu...
Recent neural-based relation extraction approaches, though achieving
pro...
This paper presents our systems for the three Subtasks of SemEval Task4:...
Research on the performance of recycled concrete as building material in...
Genetic programming has been widely used in the engineering field. Compa...
High-throughput screening (HTS) using model organisms is a promising met...