Unlocking the Learning Potential: ChatGPT as a Virtual Platform for Cross-Interaction in English Language Learning by Wen-Chi Hu, Radovan Škultéty

“…However, 33% experienced frustration due to ChatGPT’s occasional misunderstandings, pointing to the need for enhanced natural language processing capabilities. While 31% expected easy communication with an AI chatbot, the same proportion struggled with pronunciation comprehension. …”
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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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SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization by Aytuğ Onan

“…This paper proposes SRL-ACO, a novel text augmentation framework that leverages Semantic Role Labeling (SRL) and Ant Colony Optimization (ACO) techniques to generate additional training data for natural language processing (NLP) models. The framework uses SRL to identify the semantic roles of words in a sentence and ACO to generate new sentences that preserve these roles. …”
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Influence of Short Novels on Creation of Educational Programs in Literature: Taking A.P. Chekhov’s “The Chameleon” and Lu Xun’s “A Madman’s Diary” as Examples by Yuhang Xin, Saule Bayazovna Begaliyeva

“…We used natural language processing (NLP) techniques to analyze textual features, such as readability index, lexical density, and syntactic complexity, of AI-generated and human-translated “The Chameleon” and “A Madman’s Diary”. …”
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Empowering entity synonym set generation using flexible perceptual field and multi-layer contextual information. by Subin Huang, Daoyu Li, Chengzhen Yu, Junjie Chen, Qing Zhou, Sanmin Liu

“…Automatic generation of entity synonyms plays a pivotal role in various natural language processing applications, such as search engines, question-answering systems, and taxonomy construction. …”
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Automatic Gender Identification from Text by Vladimir Younkin, Marina Litvak, Irina Rabaev

“…The gender identification of authors in literary texts is a compelling research area at the intersection of computational linguistics and natural language processing, offering insights into historical biases and socio-cultural dynamics while enriching our understanding of literary traditions. …”
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How Terror Attacks Shape Political Agendas on Multiculturalism in France by Elena Cossu, Caterina Froio

“…Methodologically, the article introduces an innovative approach for tracking party positions over time using social media data and natural language processing. Beyond the French case, the study underscores a broader paradox: liberal democracies, in seeking to defend their foundational values, may increasingly adopt illiberal discourse that undermines the very principles they aim to protect.…”
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Multilingual Word Embedding and Linguistic Linked Open Data for Tracing Semantic Change by Florentina Armaselu, Barbara McGillivray, Chaya Liebeskind, Paola Marongiu, Giedrė Valūnaitė Oleškevičienė, Elena-Simona Apostol, Ciprian-Octavian Truică

“…This article proposes a methodology for combining natural language processing techniques for diachronic analysis and linguistic linked open data models to detect and represent semantic change. …”
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F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems by Francesco Antici, Andrea Bartolini, Jens Domke, Zeynep Kiziltan, Keiji Yamamoto

“…The encoding is based on a Natural Language Processing model and retains sensitive but useful job information for prediction purposes without violating privacy concerns.…”
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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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Algorithm for forming a geo-map of citizen appeals using artificial intelligence by Mallaev Oybek, Gazatov Jamoliddin, Aliyev Jaloliddin

“…The module leverages AI for intelligent appeal analysis, employing Natural Language Processing to interpret appeal texts and classify them by category and priority-for example. …”
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OrthoKnow-SP: A Large-Scale Dataset on Orthographic Knowledge and Spelling Decisions in Spanish Adults by Jon Andoni Duñabeitia

“…Public release of OrthoKnow-SP enables new research on the cognitive and demographic factors shaping orthographic decisions, and provides educators, clinicians, and developers with a valuable benchmark for assessing spelling competence and modeling written language processing.…”
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Text mining for improved exposure assessment. by Kristin Larsson, Simon Baker, Ilona Silins, Yufan Guo, Ulla Stenius, Anna Korhonen, Marika Berglund

“…First, nearly 3700 abstracts were manually annotated by an expert in exposure sciences according to a taxonomy exclusively created for exposure information. Natural Language Processing (NLP) techniques were used to extract semantic and syntactic features relevant to chemical exposure text. …”
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Relevance of the Retrieval of Hadith Information (RoHI) using Bidirectional Encoder Representations from Transformers (BERT) in religious education media by Ni’mah Ana Tsalitsatun, Yunitarini Rika

“…RoHI, designed to enhance access and comprehension of Hadith literature, employs BERT's advanced natural language processing capabilities. The study assesses how BERT-enhanced RoHI facilitates efficient retrieval and interpretation of Hadith texts. …”
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Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding. by Mingming Li, Xingjie Wang, Chunhua Li, Anping Zeng

“…Text embedding plays a crucial role in natural language processing (NLP). Among various approaches, nonnegative matrix factorization (NMF) is an effective method for this purpose. …”
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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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CFSE: a Chinese short text classification method based on character frequency sub-word enhancement by Xingguang Wang, Shunxiang Zhang, Zichen Ma, Yunduo Liu, Youqiang Zhang

“…As a foundation task of natural language processing, text classification is widely used in information retrieval, public opinion analysis, and other related tasks. …”
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DehazeMamba: large multi-modal model guided single image dehazing via mamba by Ruikun Zhang, Zhiyuan Yang, Liyuan Pan

“…Although Mamba is well-suited for sequential tasks (e.g., natural language processing), it still encounters challenges when applied to low-level vision tasks. …”
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Strategies to support language development in neonatal intensive care unit: a narrative review by Ju Sun Heo, Ee-Kyung Kim

“…As early language experiences and environments are crucial for the development of language processing, strategies to support language development should be implemented from the NICU onward. …”
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From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency by Sheela Sundarasen, Farida Saleem

“…This study finds that social media sentiment plays a crucial role in cryptocurrency price forecasting, with machine learning and natural language processing (NLP) techniques enhancing prediction accuracy. …”
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