Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification by Wenbin Yu, Lei Yin, Chengjun Zhang, Yadang Chen, Alex X. Liu

Subjects: “…Natural language processing (NLP)…”
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BERT-BiGRU-Senti-GCN: An Advanced NLP Framework for Analyzing Customer Sentiments in E-Commerce by Muhammad Rizwan Rashid Rana, Asif Nawaz, Saif Ur Rehman, Muhammad Ali Abid, Mubariz Garayevi, Jana Kajanová

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Artificial intelligence in orthopaedic trauma by Chuwei Tian, Yucheng Gao, Chen Rui, Shengbo Qin, Liu Shi, Yunfeng Rui

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Linguistes de terrain en quête d’éthique : de l’archivage numérique insouciant à la réflexivité permanente by Alexis Michaud, Camille Noûs

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Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches by Marco Siino, Mariana Falco, Daniele Croce, Paolo Rosso

Subjects: “…Natural language processing…”
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From Information Overload to Lucidity: A Survey on Leveraging GPTs for Systematic Summarization of Medical and Biomedical Artifacts by Balamurugan Palanisamy, Arjab Chakrabarti, Anushka Singh, Vikas Hassija, G. S. S. Chalapathi, Amit Singh

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Developing JSequitur to Study the Hierarchical Structure of Biological Sequences in a Grammatical Inference Framework of String Compression Algorithms by Bulgan Galbadrakh, Kyung-Eun Lee, Hyun-Seok Park

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Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition by Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi

Subjects: “…Natural language processing…”
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The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market by Kamil Polak

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Enhanced automated text categorization via Aquila optimizer with deep learning for Arabic news articles by Muhammad Swaileh A. Alzaidi, Alya Alshammari, Abdulkhaleq QA Hassan, Shouki A. Ebad, Hanan Al Sultan, Mohammed A. Alliheedi, Ali Abdulaziz Aljubailan, Khadija Abdullah Alzahrani

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Automatic Identification of Narratives: Evaluation Framework, Annotation Methodology, and Dataset Creation by Jesus M. Fraile-Hernandez, Anselmo Penas, Pablo Moral

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Refining the prediction of user satisfaction on chat-based AI applications with unsupervised filtering of rating text inconsistencies by Hae Sun Jung, Jang Hyun Kim, Haein Lee

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Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis by Mansi Jain, Harmeet Kaur, Bhavna Gupta, Jaya Gera, Vandana Kalra

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PretoxTM: a text mining system for extracting treatment-related findings from preclinical toxicology reports by Javier Corvi, Nicolás Díaz-Roussel, José M. Fernández, Francesco Ronzano, Emilio Centeno, Pablo Accuosto, Celine Ibrahim, Shoji Asakura, Frank Bringezu, Mirjam Fröhlicher, Annika Kreuchwig, Yoko Nogami, Jeong Rih, Raul Rodriguez-Esteban, Nicolas Sajot, Joerg Wichard, Heng-Yi Michael Wu, Philip Drew, Thomas Steger-Hartmann, Alfonso Valencia, Laura I. Furlong, Salvador Capella-Gutierrez

Subjects: “…Natural language processing…”
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Open intent detection based on distance loss and decision boundary by Panpan ZHANG, Yu HUA, Zhinan GOU, Yunxian CHI, Kai GAO

Subjects: “…natural language processing; intent recognition; intent detection; distance loss; decision boundary…”
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ABAC access control policy generation technique based on deep learning by Aodi LIU, Xuehui DU, Na WANG, Rui QIAO

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Investigating the relationship between thought interference, somatic passivity and outcomes in patients with psychosis: a natural language processing approach using a clinical records search platform in south London by Robert Stewart, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel, Thibault Thierry Magrangeas

“…Objectives We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes.Design Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis.Setting and participants From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020).Outcomes The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, >2 antipsychotics prescribed, >22 days spent in crisis care) over the subsequent 2 years.Results Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22).Conclusions Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.…”
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Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chapters [version 5; peer review: 1 approved, 2 approved with reservations] by Rodrigo M. Carrillo-Larco, Jesús Lovón-Melgarejo, Manuel Castillo-Cara

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NLP neural network copyright protection based on black box watermark by Long DAI, Jing ZHANG, Xuefeng FAN, Xiaoyi ZHOU

Subjects: “…natural language processing…”
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Automatically generated language learning exercises for Finno-Ugric languages by Zsanett Ferenczi

Subjects: “…natural language processing…”
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