Improving the trial efficiency of criminal cases with the assistance of artificial intelligence by Qingxia Chen

“…Using a dataset consisting of 500 criminal case records, including minor, ordinary, and complex cases, we applied machine learning (ML) and natural language processing (NLP) techniques to predict trial outcomes, reduce processing time, and improve judgment accuracy. …”
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Changes in Postural Syntax Characterize Sensory Modulation and Natural Variation of C. elegans Locomotion. by Roland F Schwarz, Robyn Branicky, Laura J Grundy, William R Schafer, André E X Brown

“…A discrete representation of behaviour will enable the use of methods developed for other kinds of discrete data in bioinformatics and language processing to be harnessed for the study of behaviour.…”
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Christian beliefs and teaching in Fr. Zoricic’s writings — linguistic and theological approach by Jadranka Garmaz, Angelina Gaspar

“…On the basis of core terminology, extracted by natural language processing tool, a detailed linguistic analysis is provided.…”
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Relieve Adversarial Attacks Based on Multimodal Training by Lai Hongjie

“…Deep learning models have reached great success in many areas such as image recognition and natural language processing. But their robustness has always been a concern. …”
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Unveiling the spatial and temporal variation of customer sentiment in hotel experiences: a case study of Beppu City, Japan by Feiyu Hu, Jun Pan, Haijun Wang

“…The Google Cloud Natural Language Processing API was utilized for sentiment extraction. …”
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Application of Image Segmentation Algorithm Based on Partial Differential Equation in Legal Case Text Classification by Jingliang Sun

“…The PDES image segmentation algorithm is an effective natural language processing method for text classification management. …”
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The Art of Generative Narrativity by Dejan Grba, Vladimir Todorović

“… Recent advancements in generative artificial intelligence (generative AI) technologies have transformed the computer science discipline of natural language processing. However, generative AI retains the anthropomorphic model of simulating human narrative construction and verbal communication whereas, for artists, the ideational exploration is often more important than human mimicry or even plausibility in storytelling. …”
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Deanthropomorphising NLP: Can a language model be conscious? by Matthew Shardlow, Piotr Przybyła

“…This claim, if confirmed, would have serious ramifications in the Natural Language Processing (NLP) community due to wide-spread use of similar models. …”
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Zero-shot performance analysis of large language models in sumrate maximization. by Ali Abir Shuvro, Md Shahriar Islam Bhuiyan, Faisal Hussain, Md Sakhawat Hossen

“…Large language models have revolutionized the field of natural language processing and are now becoming a one-stop solution to various tasks. …”
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An Empirical Configuration Study of a Common Document Clustering Pipeline by Anton Eklund, Mona Forsman, Frank Drewes

“… Document clustering is frequently used in applications of natural language processing, e.g. to classify news articles or creating topic models. …”
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Semantic embedding via joint loss function and composite contrastive learning by GAO Xiaoxin, LU Yao, KONG Xiangmao, LIU Yuxi, DENG Wei, YANG Songhao

“…The experimental results show that this method performes well on two public datasets and one private dataset, significantly improving the quality of semantic embedding, solving the core challenges of contrastive learning, and laying the foundation for further applications in the field of natural language processing.…”
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AI-driven healthcare: Fairness in AI healthcare: A survey. by Sribala Vidyadhari Chinta, Zichong Wang, Avash Palikhe, Xingyu Zhang, Ayesha Kashif, Monique Antoinette Smith, Jun Liu, Wenbin Zhang

“…AI applications have significantly improved diagnostic accuracy, treatment personalization, and patient outcome predictions by leveraging technologies such as machine learning, neural networks, and natural language processing. However, these advancements also introduce substantial ethical and fairness challenges, particularly related to biases in data and algorithms. …”
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Accelerating and Compressing Transformer-Based PLMs for Enhanced Comprehension of Computer Terminology by Jian Peng, Kai Zhong

“…Pretrained language models (PLMs) have significantly advanced natural language processing (NLP), establishing the "pretraining + fine-tuning" paradigm as a cornerstone approach in the field. …”
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A corpus-based analysis of noun modifiers in L2 writing: The respective impact of L2 proficiency and L1 background. by Fatih Ünal Bozdağ, Junhua Mo, Gareth Morris

“…Due to the development of natural language processing (NLP) technologies in recent years, noun phrase complexity, which is a micro-syntactic complexity indicator reflecting the complexity and diversity of clausal and phrasal structures, has emerged as an important research topic. …”
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Lessons Learned from EVALITA 2020 and Thirteen Years of Evaluation of Italian Language Technology by Lucia C. Passaro, Maria Di Maro, Valerio Basile, Danilo Croce

“…This paper provides a summary of the 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA2020) which was held online on December 17th, due to the 2020 COVID-19 pandemic. …”
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6G knowledge system construction: academic knowledge mining and on-demand application for full domains and omni scenarios by Zifan SHA, Nan CHENG, Yilong HUI, Wenwei YUE, Yuchuan FU, Ruijin SUN

“…At present, the concepts related to 6G have not been unified, and there is an urgent need for consistent cognition and definition.Academics and industries lack a clear understanding of the overall development of 6G and the research progress in related fields.Therefore, the 6G knowledge base and knowledge system was constructed.Firstly, the existing 6G academic documents were automatically screened and stored in a structured way.Secondly, a 6G knowledge base was constructed on the basis of labeling and standardizing text data.In addition, a comprehensive statistical analysis was conducted across all domains of 6G based on the knowledge base and the technologies such as natural language processing, deep neural network and latent tree model were used to realize the extraction and generation of 6G knowledge.Finally, on the basis of large-scale model training, the on-demand knowledge application was realized for diversified service requirements.…”
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AirGPT: pioneering the convergence of conversational AI with atmospheric science by Jun Song, Chendong Ma, Maohao Ran

“…Through a novel architecture combining natural language processing and domain-specific analytical tools, AirGPT achieved higher accuracy in air quality assessments compared to standard LLMs, including GPT-4o. …”
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An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. by Francisco Ortin, Jose Quiroga, Oscar Rodriguez-Prieto, Miguel Garcia

“…Parsers are used in different software development scenarios such as compiler construction, data format processing, machine-level translation, and natural language processing. Due to the widespread usage of parsers, there exist different tools aimed at automizing their generation. …”
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Predicting Stock Market by Sentiment Analysis and Deep Learning by Süreyya, Özögür Akyüz, Pınar, Karadayı Ataş, Aymane Benkhaldoun

“…To connect price value fluctuations with the general public, sentiment scores were offered in addition to stock price values by employing natural language processing techniques (TextBlob) to tweets. (original abstract)…”
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An application of textual document classification for Arabic governmental correspondence

“…The automation of classifying Arabic documents is becoming increasingly in demand, especially when dealing with an ever-growing amount of linguistic data. Natural language processing (NLP) has recently become one of the most significant fields in artificial intelligence (AI) thanks to recent advances in introducing transformer-based models. …”
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