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tit all "Natural language processing."
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1091
Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network
Enthalten in BMC medical informatics and decision making Bd. 23, 13.10.2023, Nr. 1, date:12.2023: 1-9
1092
Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder
Enthalten in Translational Psychiatry Bd. 14, 4.7.2024, Nr. 1, date:12.2024: 1-9
1093
New Functionalities of the System for Processing Natural Language Specifications and its Operating Environment
Enthalten in Cybernetics and systems analysis Bd. 54, 23.11.2018, Nr. 6, date:11.2018: 883-891
1094
On resolving the out of vocabulary problem in DisCoCat-based quantum natural language processing
Enthalten in Evolving systems Bd. 16, 8.7.2025, Nr. 3, date:9.2025: 1-15
1095
Online gambling forums as a potential target for harm reduction: an exploratory natural language processing analysis of a reddit.com forum
Enthalten in Harm reduction journal Bd. 22, 13.5.2025, Nr. 1, date:12.2025: 1-10
1096
Open source Arabic research paper dataset for natural language processing
Enthalten in Scientific reports Bd. 15, 27.8.2025, Nr. 1, date:12.2025: 1-20
1097
Optimized network based natural language processing approach to reveal disease comorbidities in COVID-19
Enthalten in Scientific reports Bd. 14, 28.1.2024, Nr. 1, date:12.2024: 1-11
1098
Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing
Enthalten in Biochar Bd. 7, 20.1.2025, Nr. 1, date:12.2025: 1-8
1099
Optimizing Signal Management in a Vaccine Adverse Event Reporting System: A Proof-of-Concept with COVID-19 Vaccines Using Signs, Symptoms, and Natural Language Processing
Enthalten in Drug safety Bd. 47, 7.12.2023, Nr. 2, date:2.2024: 173-182
1100
Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0)
Enthalten in Drug safety Bd. 42, 16.1.2019, Nr. 1, date:1.2019: 99-111
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