Scientific Research Publishing

Transformer-Based Automatic Item Generation for Course-Based Test Items: A Case Study of Translation Tasks in China’s Context ()

In order to meet the rapidly increasing demand for item pools for large-scale assessments, automatic item generation (AIG) emerged about thirty years ago, using pre-programmed algorithms to ...
IEEE

Exploring Extractive and Abstractive Summarization Methods in Indonesian Text: A Systematic Survey

Abstract: Automatic Text Summarization (ATS) in Natural Language Processing (NLP) aims to produce concise and meaningful summaries from long texts. While research in English has advanced rapidly, ...
IEEE

Unveiling the Nature of Emotions: Human Emotions Vs Sentiment Analysis Using Natural Language Processing

Abstract: Sentiment Analysis is a method to recognize the emotional state of a being in any context or situation, often using Natural Language Processing (NLP) to analyze the text data, feedback, or ...
Phys.org

How natural language processing and AI can help policymakers address global food insecurity

NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the wake of the COVID-19 pandemic, the Russia-Ukraine war, mounting climate ...
Deep

Model Context Protocol (MCP), AI & the Increased Use of Natural Language to Interact with CSPs’ Systems

As Agentic AI continues to roll out across many functions in Communications Service Providers (CSPs), the Model Context Protocol (MCP) is poised to become a major topic in 2026. Introduced by ...