4 accepted papers
Given the high-stakes nature of healthcare decision-making, we aim to improve the efficiency of human annotators rather than replacing them with fully automated solutions. We introduce a new comprehensive resource, SYMPTOMIFY, a dataset of annotated vaccine adverse reaction reports detailing indivi…
As the interest in ecosystem protection increases, many researchers are focusing on tracking flying insects to preserve biodiversity. Invasive alien species (IAS) such as Vespa velutina nigrithorax require extensive consideration in this regard owing to size and weight limitations. In this paper, we…
Commonsense reasoning is one of the ultimate goals of artificial intelligence research because it simulates the human thinking process. However, most commonsense reasoning studies have focused on English because available commonsense knowledge for low-resource languages is scarce due to high constru…
As research on utilizing human knowledge in natural language processing has attracted considerable attention in recent years, knowledge graph (KG) completion has come into the spotlight. Recently, a new knowledge graph completion method using a pre-trained language model, such as KG-BERT, is present…