Paraphrase Identification With Deep Learning: A Review of Datasets and Methods by Chao Zhou, Cheng Qiu, Lizhen Liang, Daniel E. Acuna

“…The rapid advancement of Natural Language Processing (NLP) has greatly improved text-generation tools like ChatGPT and Claude, offering significant utility but also posing risks to media credibility through paraphrased plagiarism—a subtle yet widespread form of content misuse. …”
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Proposal of an open-source accelerators library for inference of transformer networks in edge devices based on Linux by Alejandro Araya-Núñez, Justin Fernández-Badilla, Daniel González-Vargas González-Vargas, Jimena León-Huertas, Erick-Andrés Obregón-Fonseca, Danny Xie-Li

“…Transformers networks have been a great milestone in the natural language processing field, and have powered technologies like ChatGPT, which are undeniably changing people’s lives. …”
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Social Media Manipulation in the Post-Truth Era: The Saudi Twitter Campaign to Boycott Turkish Products by Hala Mulki, İsmail Sarı

“…The research was conducted using the Opinion Analysis Model that combines Machine Learning (ML) and Natural Language Processing (NLP) techniques, and the findings were visualized through Gephi. …”
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Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood by Yifan Yang, Naoki Ohira, Hideomi Gokon

“…In this study, a small-grid urban flood prediction model integrating Twitter data and population GPS data was constructed using the 2019 Nagano City flood as an example, and the validity of these two data for the model was determined. Using natural language processing techniques, Twitter data was filtered to extract real-time information relevant to flooding. …”
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Hyperdimensional computing in biomedical sciences: a brief review by Fabio Cumbo, Davide Chicco

“…It finds applications in a wide array of fields including bioinformatics, natural language processing, machine learning, artificial intelligence, and many other scientific disciplines. …”
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The algorithmic consumer: A conceptual investigation of AI’s influence on consumer preferences and decisions by Annur Islam Sifat

“…This paper establishes a conceptual framework to illustrate how AI technologies, including machine learning, natural language processing, and predictive analytics, intersect with facets of consumer psychology, allowing for personalization of experiences, market segmentation, and influencing behaviour in real time. …”
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LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture by Chuanyu Luo, Nuo Cheng, Sikun Ma, Han Li, Xiaohan Li, Shengguang Lei, Pu Li

“…While transformer architectures have gained prominence in natural language processing (NLP) and 2D computer vision, their application to large-scale point cloud semantic segmentation remains limited. …”
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The Research on Technology in Arabic Language Learning: A Bibliometric Analysis (1993-2024) by Muhammad Hafidz Khusnadin, Dwi Arian Putra Mandaka, ⁠Zulfi Fadhlurrahman, ⁠Zaeni Anwar, Ramadhan Safrudin

“…A deeper analysis revealed that the focus of research related to the use of technology in Arabic language learning encompasses four main aspects: 1) Deep Learning and e-learning; 2) Speech recognition; 3) Learning systems and machine learning; 4) Natural language processing. This study provides a comprehensive insight into the research trends and developments in the use of technology in the context of Arabic language learning over the past two decades. …”
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UnifiedCut: A Simple and Efficient Neural Model for Thai, Burmese and Khmer Word Segmentation by Yonghua Wen, Yantuan Xian, Yuehan Wang, Zhengtao Yu

“…Word segmentation is a critical task in natural language processing for southeast Asian Abugida languages, including Thai, Burmese, and Khmer. …”
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Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making by Mabel López Bordao, Antonia Ferrer Sapena, Carlos A. Reyes Pérez, Enrique A. Sánchez Pérez

“…Among them, we highlight the use of the Defly Compass tool, a natural language processing tool based on semantic projections and developed by our team. …”
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Automating the search for legal information in Arabic: A novel approach to document retrieval by K. S. Jafar, A. A. Mohammad, A. H. Issa, A. V. Panov

“…The work set out to analyze the feasibility of a document retrieval approach in the context of Arabic legal texts using natural language processing and unsupervised clustering techniques.Methods. …”
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A hybrid architecture for enhancing Chinese text processing using CNN and LLaMA2 by Xize Liu, Yiyi Wang, Nana Niu, Bingyan Zhang, Jingsheng Li

“…Abstract In the rapidly evolving field of natural language processing (NLP), the processing of the Chinese language, with its unique complexities, presents significant challenges, especially in the context of Large Language Models (LLMs) like LLaMA2. …”
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Critical tasks in action: the role of the teacher in the implementation of tasks designed from a critical perspective by Leonardo da Silva

“…Samuda (2009) argues that one of the central roles of the teacher in task-based language teaching is to guide students in language processing so as to cater for linguistic development. …”
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Word-embedding Based Text Vectorization Using Clustering by Vitaly I. Yuferev, Nikolai A. Razin

“…It is known that in the tasks of natural language processing, the representation of texts by vectors of fixed length using word-embedding models makes sense in cases where the vectorized texts are short.The longer the texts being compared, the worse the approach works. …”
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PAP900: A dataset of semantic relationships between affective words in PortugueseMendeley Data by André Fernandes dos Santos, José Paulo Leal, Rui Alexandre Alves, Teresa Jacques

“…This dataset is a valuable resource for researchers in computational linguistics, natural language processing, psychology, and cognitive science.…”
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Pre-Trained Language Model Ensemble for Arabic Fake News Detection by Lama Al-Zahrani, Maha Al-Yahya

“…While transformer-based models have shown promising performance in various natural language processing tasks, they often struggle with tasks involving complex linguistic patterns and cultural contexts, resulting in unreliable performance and misclassification problems. …”
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Towards safer steel operations with a multi model framework for accident prediction and risk assessment simulation by Shatrudhan Pandey, Abhishek Kumar Singh, Shreyanshu Parhi, Sanjay Kumar Jha

“…Abstract This research concentrates on an introduction of a multi-model approach integrating Bayesian Networks (BN), Machine Learning (ML) models, Natural Language Processing (NLP) with Sentiment Analysis, Agent-Based Modeling (ABM), and Survival Analysis to improve predictive modelling of accident causation in high-risk steel industries. …”
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Induction of gender-like linguistic categories using noun-marking and blocking of learning trials by Roman Taraban

“…Traditional views propose that language is acquired and processed by specialized mechanisms and that language processing relies on well-defined symbolic representations that are manipulated according to rules of language. …”
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E-InMeMo: Enhanced Prompting for Visual In-Context Learning by Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

“…In-context learning (ICL), widely used in natural language processing, leverages these models by providing task-specific prompts without modifying their parameters. …”
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LAMARS: Large Language Model-Based Anticipation Mechanism Acceleration in Real-Time Robotic Systems by Yifang Gao, Wei Luo, Xuye Wang, Shunshun Zhang, Patrick Goh

“…LAMARS leverages the predictive power and zero-shot capabilities of LLMs combined with an anticipation mechanism and vision-language processing to position a robot in advance for upcoming tasks. …”
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