Biomarker_nlp: A Python Package for Mining Biomarker Information for Targeted Cancer Therapies by Junxia Lin, Yuezheng He, Subha Madhavan, Chul Kim, Simina M. Boca

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Designing and Evaluating a Dual-Stream Transformer-Based Architecture for Visual Question Answering by Faheem Shehzad, Aniello Minutolo, Massimo Esposito

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Striking the Balance: Evaluating Content Quality and Reward Dynamics in Blockchain Online Social Media by Davide Mancino, Barbara Guidi, Andrea Michienzi, Marco Viviani

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Large Language Models Powered Aspect-Based Sentiment Analysis for Enhanced Customer Insights by Mariana Água, Nuno Antonio, Marco P. Carrasco, Carimo Rassal

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The analysis of the notions of Russian school principals about digital transformation by A. A. Deryabin, I. E. Boytsov, A. A. Popov, P. D. Rabinovich, K. E. Zavedensky, I. S. Tsarkov

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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

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Enhanced Emotion-Aware Conversational Agent: Analyzing User Behavioral Status for Tailored Reponses in Chatbot Interactions by S. Abinaya, K. S. Ashwin, A. Sherly Alphonse

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Evaluating Item Content and Scale Characteristics Using a Pretrained Neural Network Model by Jeffrey Stanton, Angela Ramnarine-Rieks, Yisi Sang

Subjects: “…Answer behavior, Emotion prediction, Microphone, Natural Language Processing, Open-ended questions, Smartphone, Voice recordings…”
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Scalable information extraction from free text electronic health records using large language models by Bowen Gu, Vivian Shao, Ziqian Liao, Valentina Carducci, Santiago Romero Brufau, Jie Yang, Rishi J. Desai

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Dijital Pazarlamada Yapay Zekâ Kullanımı: Sohbet Robotu (Chatbot) by Murat Üstüner, Yasemin Kuruca, Işıl Şimşek

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Sociology of values: experience of building a taxonomy by using natural language analysis technology by M. A. Kashina, S. Tkach

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The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach by Jianqing Qiu, Ting Zhu, Ke Qin, Wei Zhang

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Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 by Sunho Kim, Royoung Kim, Hee-Jo Nam, Ryeo-Gyeong Kim, Enjin Ko, Han-Su Kim, Jihye Shin, Daeun Cho, Yurhee Jin, Soyeon Bae, Ye Won Jo, San Ah Jeong, Yena Kim, Seoyeon Ahn, Bomi Jang, Jiheyon Seong, Yujin Lee, Si Eun Seo, Yujin Kim, Ha-Jeong Kim, Hyeji Kim, Hye-Lynn Sung, Hyoyoung Lho, Jaywon Koo, Jion Chu, Juwon Lim, Youngju Kim, Kyungyeon Lee, Yuri Lim, Meongeun Kim, Seonjeong Hwang, Shinhye Han, Sohyeun Bae, Sua Kim, Suhyeon Yoo, Yeonjeong Seo, Yerim Shin, Yonsoo Kim, You-Jung Ko, Jihee Baek, Hyejin Hyun, Hyemin Choi, Ji-Hye Oh, Da-Young Kim, Hyun-Seok Park

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Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation by Aaron L.-F. Han, Derek F. Wong, Lidia S. Chao, Liangye He, Yi Lu

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A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation by Longyue Wang, Derek F. Wong, Lidia S. Chao, Yi Lu, Junwen Xing

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Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

“…This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. …”
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Expletive ta in Mandarin Chinese: A Quantitative Study by Yue Yu, Qiurong Zhao

“…The findings not only provide evidence to show that even in radical pro-drop languages such as Mandarin, pleonastics can occur in both object and subject positions but also offer important insights for Chinese natural language processing.…”
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Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition by Xiaoyu Liang, Huanqi Wu, Yuyu Ma, Changzeng Liu, Xiaolin Ning

“…Neural oscillations observed during semantic processing embody the function of brain language processing. Precise parameterization of the differences in these oscillations across various semantics from a time–frequency perspective is pivotal for elucidating the mechanisms of brain language processing. …”
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Survey of text classification methods based on deep learning by Sijia DU, Haining YU, Hongli ZHANG

“…Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of natural language processing,the application of neural network technology to text classification has also made many achievements.In the field of text classification based on deep learning,numerical representation of text and deep-learning-based text classification are two main research directions.The important technology of word embedding in text representation and the implementation principle and research status of deep learning method applied in text classification were systematically analyzed and summarized.And the shortcomings and the development trend of text classification methods in view of the current technology development were analyzed.…”
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