A Survey of Loss Functions in Deep Learning by Caiyi Li, Kaishuai Liu, Shuai Liu

“…Deep learning (DL), as a cutting-edge technology in artificial intelligence, has significantly impacted fields such as computer vision and natural language processing. Loss function determines the convergence speed and accuracy of the DL model and has a crucial impact on algorithm quality and model performance. …”
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Ensemble Transformer–Based Detection of Fake and AI–Generated News by Md. Ishraquzzaman, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan

“…This work leverages advanced natural language processing, machine learning, and deep learning algorithms to effectively detect fake and AI–generated content. …”
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Exploring the Cognitive Dimensions in Interpreting and AI

“…It discusses how AI technologies, such as machine learning and natural language processing, can analyze language patterns, predict upcoming speech segments, and provide real-time suggestions to interpreters. …”
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Enhancing Sentiment Analysis with a CNN-Stacked LSTM Hybrid Model by Shao Shuaijie

“…This paper focuses on developing a new hybrid model to solve sentiment analysis problems in Natural language processing. Sentiment analysis is a key branch of Natural language processing (NLP) and new models with better performance can boost the development of machine learning. …”
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A Turkish Word Frequency Tool: LexiTR Frequency by Taner Sezer, Özay Karadağ

“…Word frequency is a fundamental concept in linguistics, computational linguistics, natural language processing (NLP) and language education. Word frequency plays a critical role in understanding the characteristics and usage patterns of a word. …”
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Application and Effectiveness of BERT in Question and Answer Modelling by Weng Haofeng

“…Given the quick development of natural language processing (NLP) technology, chat Q&A models according to Bidirectional Encoder Representations from Transformers (BERT) have emerged as a significant research focus. …”
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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…Machine learning techniques including clustering and natural language processing were used. Data was structured using topic modeling and language models implemented using Python libraries. …”
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Linguistic insights into dementia from 1994 to 2023: A structural topic modeling-assisted bibliometric analysis by Hong Lei, Zhanhao Jiang

“…The topics generated by structural topic modeling show that scholars in linguistics have responded to a variety of issues on dementia, encompassing semantic processing, multilingualism and cognitive functions, primary progressive aphasia and apraxia of speech, natural language processing techniques, the role of speech-language pathologists, communication dynamics in contexts, speech processing, syntactic processing, and word retrieval and language processing. …”
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Exploration of Word Embeddings with Graph-Based Context Adaptation for Enhanced Word Vectors by Tanvi Sandhu, Ziad Kobti

“…This paper investigates the connection between representing words in vector form and the improved performance and accuracy observed in Natural Language Processing tasks. It introduces a method to represent words as a graph, aiming to preserve their inherent relationships and to enhance overall capabilities in semantic representation. …”
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Generative Artificial Intelligence ChatGPT in Education: Challenges and Opportunities by Bilquis Ferdousi

“…This paper studied the impact of ChatGPT, a generative artificial intelligence with natural language processing capabilities, on higher education. ChatGPT, which is able to make human-like responses, with its scalability, customizability, automated conversations, efficiency, cost-effectiveness, natural language processing, and language translation capability, can be an ideal tool for different functions, including the academic learning process. …”
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Self-move and Other-move: Quantum Categorical Foundations of Japanese by Ryder Dale Walton

“… This work contributes toward the larger goal of creating a Quantum Natural Language Processing (QNLP) translation program. It contributes original diagrammatic representations of the Japanese language based on previous work on the English language. …”
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Automated assembly of molecular mechanisms at scale from text mining and curated databases by John A Bachman, Benjamin M Gyori, Peter K Sorger

“…Here, we describe an approach to precisely assemble molecular mechanisms at scale using multiple natural language processing systems and the Integrated Network and Dynamical Reasoning Assembler (INDRA). …”
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When to use a metaphor: metaphors in dialogical explanations with addressees of different expertise by Ingrid Scharlau, Miriam Körber, Meghdut Sengupta, Henning Wachsmuth

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Multi-Agents Indexing System (MAIS) for Plagiarism Detection by Samia Zouaoui, Khaled Rezeg

“…The proposed system is composed of three phases: (1) natural language processing phase, (2) indexing phase and (3) evaluation phase.Our experimentations are based on the training dataset released for the AraPlagDet curpus. …”
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A novel, human-in-the-loop computational grounded theory framework for big social data by Lama Alqazlan, Zheng Fang, Michael Castelle, Rob Procter

“…However, a critical concern for researchers is the trustworthiness of results when machine learning and natural language processing tools are used to analyse such data. …”
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APPLICATION OF THE WORD2VEC ALGORITHM FOR CLINICAL DIAGNOSIS DETERMINATION by Uzeyir Gurbanli

“… The article examines the use of Natural Language Processing technologies in modern medicine for knowledge acquisition and the implementation of decisionmaking methods. …”
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The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models. by Ahmed Daoud, Asa Ben-Hur

“…Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they enable researchers to create accurate models with minimal effort and computational resources. …”
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Enhancing telemedicine service quality through sentiment analysis of user review dataset in IndonesiaMendeley Data by Edi Sutoyo, Muhammad Cekas Permana

“…Sentiment analysis, a field within natural language processing, text mining, and computational linguistics, evaluates user opinions and product ratings. …”
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Artificial Intelligence for Unstructured Data Processing by Yohanes Bowo Widodo, Febrianti Widyahastuti, Mohammad Narji, Sondang Sibuea

“…Artificial Intelligence (AI) has become an innovative solution in addressing this challenge through techniques such as Natural Language Processing (NLP), Computer Vision, and Machine Learning. …”
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Design and Implementation of English Intelligent Communication Platform Based on Similarity Algorithm by Yujie Chai

“…Text vector representation and text similarity calculation are important fundamental tasks in the whole field of natural language processing. In response to the shortcomings of existing sentence vector representation models and the singularity of text similarity algorithms, improved models and algorithms are proposed based on a thorough study of related domain technologies. …”
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