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Abstract This paper seeks to investigate the use of Natural Language Processing techniques in analyzing the Bhagavad Gita, a fundamental text in Hindu philosophy that has stood the test of time and centuries of interpret...

Clinical narratives in electronic health records (EHRs) are a key source of information in mental health care, but their unstructured nature limits systematic analysis. We propose an NLP framework to extract therapeutic ...

Abstract Language plays a central role in the assessment of individuals with psychosis, from taking a medical history to evaluating cognitive function. However, speaking multiple languages can significantly influence lin...

Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other ...

This study proposes and validates a conceptual framework using a sign language (SL) chatbot in the e-commerce domain to improve accessibility. Currently, the use of SL is a less-explored area in online platforms. It is d...

The relevance of this study is driven by the growing need to integrate innovative digital tools, particularly artificial intelligence (AI)-based chatbots, into the educational process to enhance language learning efficie...

Large language models (LLMs) have demonstrated encouraging performance for medical natural language processing (NLP) tasks, approaching human-equivalent performance in some of the standard benchmarks, positioning them as...

Abstract Precise extraction of medical phenotypes and entities from electronic health record (EHR) text is vital for numerous clinical research tasks, including cohort classification, tracking temporal patterns in diseas...

Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespo...

Although distinguishing spoken from written language may seem straightforward, it remains a complex problem in stylometry and natural language processing. In this work, we present an open-source explainable AI (XAI) visu...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...

Opinion mining, a critical subfield of natural language processing, seeks to extract and analyze user-generated expressions. This paper proposes a novel Multi-Task Opinion Mining framework that integrates psychological i...

Abstract Effort estimation remains a persistent challenge in agile software development, particularly at the user story level where iterative delivery is emphasized. Inaccurate estimations can result in misallocated reso...

Abstract BackgroundArtificial intelligence (AI) offers new methods to improve diagnosis and treatment in mental health. However, its use raises legal and ethical concerns. ObjectiveAI is increasin...

Malware represents the most critical threat in cybersecurity, meant to compromise the security for any individual or any organization. These are covert software, designed to perform malicious act like data theft, data al...

Abstract This research proposes an innovative Arabic financial forecasting model that integrates linguistic relation extraction with advanced deep learning and machine learning techniques. The framework combines Arabic O...

The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raise...

Global food supply chains continue to expand in scale and complexity, heightening risks of fraud, mislabeling, and cross-contamination across certification systems. These vulnerabilities are particularly consequential fo...

Malignant tumors pose a significant global health challenge. While established screening methods exist, they are largely site-specific, limiting comprehensive prevention. Multi-cancer screening, which detects multiple ca...

Abstract This study presents an automated systematic review of augmented reality research within educational neuroscience, utilizing PubMedBERT, a domain-specific natural language processing model, to extract and analyze...

Extracting multi-hop causal chains from industrial maintenance narratives is essential for root cause analysis and predictive maintenance, yet existing information extraction methods struggle with long-range dependencies...

Question-answering (QA) has been a crucial NLP (Natural Language Processing) task for a long time. As an umbrella term, QA has multiple sub-tasks under its hood. Question classification (QC) is one of the most important ...

In the digital economy, the importance of robust cybersecurity governance for corporate financing stability has become increasingly salient. Using a sample of Chinese A-share listed companies from 2011 to 2023, we employ...