Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach by Miguel Ángel Rodríguez-García, Alejandro Rodríguez-González, Ricardo Colomo-Palacios, Rafael Valencia-García, Juan Miguel Gómez-Berbís, Francisco García-Sánchez

“…Since the Web has become the most significant data source, intelligent crawlers based on Semantic Technologies have become trailblazers in the search of knowledge combining natural language processing and ontology engineering techniques. …”
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Chinese Sequence Labeling Based on Stack Pre-training Model by LIU Yu-peng, LI Guo-dong

“…Sequence labeling is an important task in natural language processing. In this paper, according to the relevance of tasks, we use stacking pretraining model to extract features, segment words, and name entity recognition/chunk tagging.Through in-depth research on the internal structure of BERT, while ensuring the accuracy of the original model, the Bidirectional Encoder Representation from Transformers （BERT） is optimized, which reduces the complexity and the time cost of the model in the training and prediction process.In the upper layer structure, compared with the traditional long-short-term memory network (LSTM), this paper uses a two-layer bidirectional LSTM structure, the bottom layer uses a bidirectional long-short-term memory network (Bi-LSTM) for word segmentation, and the top layer is used for sequence labeling tasks.On the New Semi-Conditional Random Field (NSCRF), the traditional semi-Markov Conditional Random Field (Semi-CRF) and Conditional Random Field (CRF) are combined while considering the segmentation.The labeling of words improves accuracy in training and decoding. …”
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Leveraging large language models for spelling correction in Turkish by Ceren Guzel Turhan

“…The field of natural language processing (NLP) has rapidly progressed, particularly with the rise of large language models (LLMs), which enhance our understanding of the intrinsic structures of languages in a cross-linguistic manner for complex NLP tasks. …”
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Foundation models in plant molecular biology: advances, challenges, and future directions by Feng Xu, Tianhao Wu, Qian Cheng, Xiangfeng Wang, Jun Yan

“…It begins by tracing the evolution of biological FMs across the DNA, RNA, protein, and single-cell levels, from tools inspired by natural language processing (NLP) to transformative models for decoding complex biological sequences. …”
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Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis by Calla Glavin Beauregard, Christopher M Danforth, Peter Sheridan Dodds

“…MethodsUsing crowd-sourced data on over 68,000 film deaths from Cinemorgue Wiki, we employ natural language processing techniques to analyze shifts in representation of deaths in movies versus the 2021 National Vital Statistics Survey top 10 mortality causes. …”
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Processing Sentences with Literal versus Figurative Use of Verbs: An ERP Study with Children with Language Impairments, Nonverbal Impairments, and Typical Development by Maria Luisa Lorusso, Michele Burigo, Virginia Borsa, Massimo Molteni

“…The results suggest that linguistic impairments disrupt abstract language processing more than visual-motor impairments. …”
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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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Construction and implementation of knowledge enhancement pre-trained language model for text sentiment analysis by Lan Cui

“…With the in-depth development of natural language processing technology, text sentiment analysis has shown great potential in public opinion monitoring, market analysis and other fields. …”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network by Muhammad Sohaib, Jong-Myon Kim

“…., in image processing and natural language processing), but also reduced the complexity of feature extraction and selection processes. …”
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KanuriSenti: A novel dataset for sentiment analysis in the under-resourced Kanuri languageMendeley Data by Bashir Maina Saleh, Saurabh Bilgaiyan, Santwana Sagnika

“…The dataset addresses a critical gap in Natural Language Processing by providing structured and sentiment-annotated Kanuri data, which has been largely absent from existing resources. …”
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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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CoWIN twitter dataset: A comprehensive collection of public discourse on India's COVID-19 vaccination platformMendeley Data by Shubham Mittal, Swarnalakshmi Umamaheswaran

“…The mix of languages in the data also makes it useful for language processing research.…”
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Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery by Robert Vogel, Björn Mück

“…These layers’ configuration and weighting are pivotal in developing effective models for various applications, such as image and speech recognition, natural language processing, and more specifically, surgical procedures and outcomes in hernia surgery. …”
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Semantic Topic Modeling of Aviation Safety Reports: A Comparative Analysis Using BERTopic and PLSA by Aziida Nanyonga, Keith Joiner, Ugur Turhan, Graham Wild

“…This work advances the application of natural language processing (NLP) in aviation by demonstrating how topic modeling can support risk assessment, inform policy, and enhance safety outcomes.…”
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Being vulnerable with viewers: Exploring how medical YouTubers communicated about COVID-19 with the public. by Seung Woo Chae, Noriko Hara, Harshit Rakesh Shiroiya, Janice Chen, Ellen Ogihara

“…We employed natural language processing to analyze the linguistic and emotional dimensions of these two text sets including analytical thinking, positive emotion, and negative emotion, the last of which was divided into anxiety, anger, and sadness. …”
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The structure of inflected Urdu nominals: insights from Distributed Morphology by Faiza Ghulam Nabi, Baber Sultan Ali Khan, Tahir Saleem

“…Additionally, insights from this study support computational modeling, aiding in the advancement of Natural Language Processing (NLP) tools for Urdu and similar languages. …”
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Precipitation Estimation With NWP Model and Generative Diffusion Model by Haolin Liu, Jimmy C. H. Fung, Alexis K. H. Lau, Zhenning Li

“…These advancements have had a profound impact on fields such as computer vision and natural language processing. In this study, we leverage this cutting‐edge generative model to refine Numerical Weather Prediction (NWP) precipitation outputs. …”
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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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Comparing a Thai Words Segmentation Methods in the LST20 Dataset by Krittapol Damrongkamoltip, Khatcha Ruenlek, Wasit Limprasert, Prachya Boonkwan

“…Although data is easily available, there are still challenges in natural language processing tasks, especially, the division of Thai words that lacks clarity of word boundaries, etc. …”
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Wiki-Quantities and Wiki-Measurements: Datasets of quantities and their measurement context from Wikipedia by Jan Göpfert, Patrick Kuckertz, Jann M. Weinand, Detlef Stolten

“…Abstract To cope with the large number of publications, more and more researchers are automatically extracting data of interest using natural language processing methods based on supervised learning. …”
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