We conducted a scoping review for active learning in the domain of natural language
processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as …

Abstract Objective: Biomedical Named Entity Recognition (bio NER) is the task of
recognizing named entities in biomedical texts. This paper introduces a new model that …

This paper introduces a new IncidentAI dataset for safety prevention. Different from prior
corpora that usually contain a single task, our dataset comprises three tasks: named entity …

Named entity recognition (NER) is one of the most important tasks in natural language
processing, which identifies entity boundaries and classifies them into pre-defined …

This paper presents a novel task to generate frequently asked question (FAQ) pairs for the
rule and regulation documents. It offers an easy way for customers and employers to quickly …

Abstract Successful Artificial Intelligence systems often require numerous labeled data to
extract information from document images. In this paper, we investigate the problem of …