The humble inventions that power our modern world wouldn’t have been possible without decades of support for early-stage ...

To address this, natural language processing (NLP) algorithms have been developed to automate text processing. In the biomedical field, various toolkits for text processing exist, which have greatly ...

Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy Accurate identification of ...

Over the past decades, research on second language acquisition based on ERP has gained traction among scholars. This review summarizes recent research on second language acquisition using ERP, with a ...

In 2022, a colleague of mine and I were required to complete our progress report for full professors at Rice University, which is due every 5 years as part of post-tenure review. As ChatGPT had ...

Abstract: This paper explores the development and application of low resource Natural Language Processing (NLP) modules, addressing the challenges of processing underrepresented languages and domains ...

Abstract: In this experimental work, we explore how Automated Essay Scoring (AES) systems can be improved through the use of sophisticated Natural Language Processing (NLP) approaches. Discretion and ...

This project demonstrates a Natural Language Processing (NLP) pipeline using the Natural Language Toolkit (NLTK) in Python. The script performs various text-processing tasks on a given passage about ...