Lightweight Word Spacing Model Based on Short Text Messages for Social Networking in Smart Homes by Yeongkil Song, Harksoo Kim

“…Therefore, it is not easy to embed intelligent applications based on natural language processing (NLP) techniques, which traditionally require large memory and high-end processing power, into information appliances. …”
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Mapping Mental Representations With Free Associations: A Tutorial Using the R Package associatoR by Samuel Aeschbach, Rui Mata, Dirk U. Wulff

“…We discuss study design choices and different approaches to uncovering the structure of mental representations using natural language processing, including the use of embeddings from large language models. …”
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Proposed Framework for the Evaluation of Standalone Corpora Processing Systems: An Application to Arabic Corpora by Abdulmohsen Al-Thubaity, Hend Al-Khalifa, Reem Alqifari, Manal Almazrua

“…Despite the accessibility of numerous online corpora, students and researchers engaged in the fields of Natural Language Processing (NLP), corpus linguistics, and language learning and teaching may encounter situations in which they need to develop their own corpora. …”
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A review of university chatbots for student support: FAQs and beyond by Kevin Peyton, Saritha Unnikrishnan, Brian Mulligan

“…It initially describes chatbot examples related to student administration activities and teaching and learning, before describing in detail the recent evolution of Natural Language Processing and the more immediate arrival of state-of-the-art generative techniques. …”
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Exploring the Performance of Tagging for the Classical and the Modern Standard Arabic by Dia AbuZeina, Taqieddin Mostafa Abdalbaset

“…The part of speech (PoS) tagging is a core component in many natural language processing (NLP) applications. In fact, the PoS taggers contribute as a preprocessing step in various NLP tasks, such as syntactic parsing, information extraction, machine translation, and speech synthesis. …”
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Artificial intelligence in aviation English testing by Gökhan Demirdöken

“…The review encompasses AI technologies such as automated speech recognition (ASR), natural language processing (NLP), and intelligent tutoring systems (ITS) in the light of the language proficiency requirements stated by the International Civil Aviation Organization (ICAO). …”
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Fine-Tuning BERT Models for Multiclass Amharic News Document Categorization by Demeke Endalie

“…Bidirectional encoder representation from transformer (BERT) models are increasingly being employed in the development of natural language processing (NLP) systems, predominantly for English and other European languages. …”
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An Embedding-Based Semantic Analysis Approach: A Preliminary Study on Redundancy Detection in Psychological Concepts Operationalized by Scales by Zhen Huang, Yitian Long, Kaiping Peng, Song Tong

“…This study introduces an Embedding-based Semantic Analysis Approach (ESAA) for detecting redundancy in psychological concepts, which are operationalized through their respective scales, using natural language processing techniques. The ESAA utilizes OpenAI’s text-embedding-3-large model to generate high-dimensional semantic vectors (i.e., embeddings) of scale items and applies hierarchical clustering to group semantically similar items, revealing potential redundancy. …”
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Identification of innovation drivers based on technology-related news articles by Albina Latifi, David Lenz, Peter Winker

“…In a first step, natural language processing (NLP) tools are used to identify latent topics in the text corpus. …”
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Cross-platform hatedom: Influencers’ strategies for managing affective aversion by Arantxa Vizcaíno-Verdú, Paloma Contreras-Pulido

“…Using a mixed methods approach, this study analyzes 16,215 comments directed at six influencers using advanced natural language processing techniques and pre-trained AI models. …”
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Development of a Bayesian Network-based Safety Performance Quantification Model on building construction projects in Korea by Taegeun Song, Kiseok Lee, Yoonseok Shin, Wi Sung Yoo

“…The SPQM employs a Bayesian Network to evaluate safety performance through natural language processing techniques and analysis of association rules and social networks. …”
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GNI Corpus Version 1.0: Annotated Full-Text Corpus of to Support Biomedical Information Extraction by So-Yeon Oh, Ji-Hyeon Kim, Seo-Jin Kim, Hee-Jo Nam, Hyun-Seok Park

“…Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. …”
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Design of Intelligent Recognition English Translation Model Based on Deep Learning by Yuexiang Ruan

“…Additionally, a new and popular branch of machine learning is deep learning which has achieved excellent results in research fields such as natural language processing. This paper improved the performance of machine translation based on deep learning network and studied the intelligent recognition of English-Chinese machine translation models. …”
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Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks by Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

“…In recent years, deep neural networks have achieved great success in many fields, such as computer vision and natural language processing. Traditional image recommendation algorithms use text-based recommendation methods. …”
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

“…Relation classification is a crucial component in many Natural Language Processing (NLP) systems. In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation classification, with an attention layer for organizing the context information on the word level and a tensor layer for detecting complex connections between two entities. …”
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Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools by Ming Liu, Yiling Ren, Lucy Michael Nyagoga, Francis Stonier, Zhongming Wu, Liang Yu

“…Abstract ChatGPT is an artificial intelligence chatbot that utilizes advanced natural language processing technologies, including large language models, to produce human‐like responses to user queries spanning a wide range of topics from programming to mathematics. …”
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Towards cross-platform interoperability for machine-assisted text annotation by Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman

“…In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. …”
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Artificial intelligence across oncology specialties: current applications and emerging tools by Frank Lin, Tim Rattay, John Kang, Evangelia Katsoulakis, Kyle Lafata, Ellen Kim, Christopher Yao, Harsha Nori, Christoph Ilsuk Lee

“…In this review, we provide multidisciplinary perspectives on oncology applications touched by AI—imaging, pathology, patient triage, radiotherapy, genomics-driven therapy and surgery—and integration with existing tools—natural language processing, digital twins and clinical informatics.…”
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A Bibliometric Perspective on AI Research for Job-Résumé Matching by Sergio Rojas-Galeano, Jorge Posada, Esteban Ordoñez

“…Recent advances in AI, specifically in the fields of text analytics and natural language processing, have sparked the interest of research on the application of these technologies to help recruiters accomplish this task or part of it automatically, applying algorithms for information extraction, parsing, representation, and matching of résumés and job descriptions, or sections within. …”
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Detecting privacy compliance of mobile applications from the perspective of the "minimum necessary" principle by YU Peihou, XU Tianchen, SUN Wenqian, CHEN Yunfang, YU Le, ZHANG Wei

“…Researchers have proposed various methods using natural language processing (NLP) techniques to analyze privacy policy texts and perform compliance checks. …”
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