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Natural Language Processing Journal
Scopus
ISSN 2949-7191 · Elsevier · 139 articles in the index
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Journal Article
How capable are large language models in specialized medical domains? The case of Hashimoto’s thyroiditis
To systematically assess the accuracy, completeness, and safety of information provided by three mainstream LLMs (ChatGPT-5, DeepSeek-V3.2, Gemini-2.5 Flash) regarding Hashimoto’s Thyroiditis (HT), a set of standardized clinical questions was designed and posed to the LLMs (Foundational Knowledge…
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Journal Article
From relation extraction to knowledge graph construction: The AREX dataset with an adaptive ensemble framework
Relation extraction for Assamese, a morphologically rich Indo-Aryan language spoken by roughly 15 million people, has been held back by the absence of an annotated corpus, a trained model, and any standardised evaluation protocol. We address all three gaps in this work. We first introduce AREX, the…
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Journal Article
Semantic mediation in audio and music intelligence through natural language processing a systematic literature review
This study presents a systematic literature review examining the evolving role of Natural Language Processing (NLP) in audio and music artificial intelligence between 2021 and 2025. While early research primarily treated language as an auxiliary component supporting signal-based modelling, recent…
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Journal Article
A hybrid deep learning framework for Arabic smishing detection: Dataset creation, model design, and explainability
Arabic smishing detection is difficult because short SMS messages combine phishing intent, Arabic morphology, dialectal variation, code-mixed tokens, and deliberate obfuscation. This study presents a revised, application-oriented framework for Arabic smishing detection built around a source-audited…
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Journal Article
Academic english writing generation-evaluation closed-loop system driven by large language model: adversarial training and cognitive logic verification
Current pipelines are disconnected, with generation systems generating fluent text but without strong evaluation and evaluation approaches that rely on heuristics or shallow proofreading, missing a coupling of rhetorical fluency and logical rigor. These limitations have been identified in terms of…
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Journal Article
VLM-guided key information extraction for Chinese visually-rich documents
Current document KIE systems are typically optimized for end-task accuracy, but deployment also requires evidence for predicted links, complete processing of long documents, and stable joint SER+RE training. In this work, we study KIE reliability through three requirements: inspectable decision…
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Journal Article
BAN-ASTE: A unified neural framework for Bengali aspect sentiment triplet extraction
Triplet extraction-aspect, opinion, and sentiment detection for each product review is a valuable contribution to fine-grained sentiment analysis. Though this task is extensively studied for English and other large languages, triplet extraction for Bengali was never addressed by any prior work. In…
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Journal Article
Hallucination detection, verification, and correction in generative AI: A comprehensive survey
The rapid adoption of large language models (LLMs) and generative artificial intelligence (AI) systems has brought AI hallucinations to the forefront of contemporary natural language processing research. AI hallucinations refer to statements made by the system which are either factually incorrect…
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Journal Article
BNDrop-XNet: A lightweight multi-modal deep learning framework with weighted fusion for melanoma detection using dermoscopic and clinical data
Melanoma is one of the most life-threatening forms of skin cancer, where early detection improves survival outcomes. Despite recent advances in Deep Learning (DL) for dermoscopic image analysis, existing approaches face critical limitations, including reliance on image-only inputs, inability to…
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Journal Article
IntentContextCS: Intent-specific context selection for multi-intent code comment generation
Code comment generation aims to produce concise natural-language comments that help developers understand and maintain source code. Recent work has expanded the input to include information outside the target method, but most approaches still treat context as a single pool of evidence. This is…
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Journal Article
Evaluating sparse and dense sentence encoders for vocabulary governance in emerging-domain taxonomies: A cross-family robustness approach
Registries in emerging technology domains accumulate semi-controlled short-text fields whose vocabularies fragment faster than governance bodies can normalize them. While methodological proposals — fine-tuned entity matching, instruction-tuned embeddings, and generative LLM classifiers — continue…
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Journal Article
Automated parts–of–speech tagging in 52 language varieties: Benchmarking towards establishing suitability for multilingual clinical language analysis
Background: Language endpoints serve as meaningful clinical outcomes in testing for neurological conditions (e.g. dementia). Assessments can be conducted using paper/pencil tests or through digital outcomes using natural language processing (NLP). The accuracy of many NLP models across languages…
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Journal Article
SENTICARE-GPT: A cross-fused generative transformer for emotion-aware and explainable sentiment analysis of patient feedback
In today's healthcare environment, understanding patient emotion is an invaluable measure for evaluating service quality, finding significant loopholes, and improving therapeutic outcomes. Yet, recently devised transformer-based models, such as GPT-3.5, Health-LLM, and Polaris, while brimming with…
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Journal Article
Emoji signals across Europe: Rating prediction and cross-lingual analysis
Emojis are present in user-generated content, mainly on the Internet. This fact makes emoji analysis an important aspect of information retrieval from natural language texts. This work explores the potential of emojis as indicators for rating prediction of online product reviews. As a case study…
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Journal Article
Controlled thematic prompting for Indonesian Quran QA dataset construction with matched cross-generator LLM validation
Constructing high-quality grounded question-answer (QA) datasets remains a major bottleneck in developing reliable retrieval-augmented generation and question-answering systems, particularly for domain-specific and low-resource corpora. Although large language models (LLMs) can automatically…
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Journal Article
Intelligent evaluation method of teaching effect of advanced mathematics based on 3D image technology
The present study investigates the effect of incorporating 3D image technology into teaching Advanced Mathematics (AMs) at Vocational Colleges (VCs) to help improve students' academic performance, participation, and conceptual understanding. Traditional teaching methods are always deficient in…