Frontiers in psychology

[1] When the Second Language Takes the Lead: Neurocognitive Processing Changes in the First Language of Adult Attriters.

[2] neurological evidence linguistic processes precede perceptual simulation in conceptual processing

[3] Innovation hotspots in food waste treatment, biogas, and anaerobic digestion technology: A natural language processing approach

[4] A Year of Papers Using Biomedical Texts: Findings from the Section on Natural Language Processing of the IMIA Yearbook.

[5] Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.

[6] A computational model of reading across development: Effects of literacy onset on language processing

[7] Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

[8] Applying Natural Language Processing to Evaluate News Media Coverage of Bullying and Cyberbullying.

[9] Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.

[10] How meaning unfolds in neural time: Embodied reactivations can precede multimodal semantic effects during language processing.

[11] Special issue of BMC medical informatics and decision making on health natural language processing

[12] Prediction of emergency department patient disposition based on natural language processing of triage notes.

[13] Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department.

[14] Language Processing with Perl and Prolog: Theories, Implemetation, and ApplicationPierre M. Nugues(Lund University, Sweden)Springer (Cognitive technologies series, edited by A. Bundy et. al), 2014, Second Edition, xxv+662 pp; hardcover, ISBN 978-3-642-41463-3 $89.99; ebook, ISBN 978-3-642-41464-0, $69.99; doi 10.1007/978-3-642-41464-0

[15] An automatic literature knowledge graph and reasoning network modeling framework based on ontology and natural language processing

[16] Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review.

[17] Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook.

[18] Natural language processing in pathology: a scoping review.

[19] Overview of Natural Language Processing Approaches in Modern Search Engines

[20] What do patients learn about psychotropic medications on the web? A natural language processing study.

[21] Essential Elements of Natural Language Processing: What the Radiologist Should Know.

[22] Application of Natural Language Processing and Text Mining to Identify Patterns in Construction-Defect Litigation Cases

[23] Natural Language Processing Accurately Measures Adherence to Best Practice Guidelines for Palliative Care in Trauma.

[24] Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing.

[25] Contributions of Basic Cognitive Processing to Chinese Reading: The Mediation Effect of Basic Language Processing

[26] Improving the efficacy of the data entry process for clinical research with a natural language processing-driven medical information extraction system: Quantitative field research

[27] The implementation of natural language processing to extract index lesions from breast magnetic resonance imaging reports.

[28] Natural language processing for automated detection of incidental durotomy.

[29] Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study.

[30] Gather-Narrow-Extract: A Framework for Studying Local Policy Variation Using Web-Scraping and Natural Language Processing

[31] Syntactic and non-syntactic sources of interference by music on language processing.

[32] Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations.

[33] Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis

[34] Review-based sentiment prediction of rating using natural language processing sentence-level sentiment analysis with bag-of-words approach

[35] KeyBoard-Less Online Shopping for the Visually Impaired Using Natural Language Processing and Face Recognition Mechanism

[36] Natural Language Processing of Clinical Notes for Improved Early Prediction of Septic Shock in the ICU.

[37] Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department.

[38] Natural language processing to advance EHR-based clinical research in Allergy, Asthma, and Immunology.

[39] Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

[40] Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes

[41] SECNLP: A survey of embeddings in clinical natural language processing

[42] Natural language processing for populating lung cancer clinical research data

[43] Use of natural language processing to extract clinical cancer phenotypes from electronic medical records

[44] Agile Natural Language Processing Model for Pathology Knowledge Extraction and Integration with Clinical Enterprise Data Warehouse

[45] Do you need embeddings trained on a massive specialized corpus for your clinical natural language processing task?

[46] Improving adherence to clinical pathways through natural language processing on electronic medical records

[47] Clinical trial cohort selection based on multi-level rule-based natural language processing system

[48] Toward a clinical text encoder: Pretraining for clinical natural language processing with applications to substance misuse

[49] Natural language processing of German clinical colorectal cancer notes for guideline-based treatment evaluation

[50] Assertion Detection in Clinical Natural Language Processing: A Knowledge-Poor Machine Learning Approach

[51] Natural language processing of clinical notes on chronic diseases: Systematic review

[52] Moonstone: A novel natural language processing system for inferring social risk from clinical narratives

[53] Using natural language processing to extract structured epilepsy data from unstructured clinic letters: Development and validation of the ExECT (extraction of epilepsy clinical text) system

[54] Extraction of geriatric syndromes from electronic health record clinical notes: Assessment of statistical natural language processing methods

[55] Leveraging Natural Language Processing: Toward Computer-Assisted Scoring of Patient Notes in the USMLE Step 2 Clinical Skills Exam

[56] Extracting clinical features from dictated ambulatory consult notes using a commercially available natural language processing tool: Pilot, retrospective, cross-sectional validation study

[57] Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data

[58] Clinical natural language processing with deep learning

[59] Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

[60] Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing

[61] Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks

[62] Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records

[63] Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records

[64] Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death

[65] Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters

[66] Qualitative Assessment of Adult Patients' Perception of Atopic Dermatitis Using Natural Language Processing Analysis in a Cross-Sectional Study.

[67] Language Processing as a Precursor to Language Change: Evidence From Icelandic.

[68] A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.

[69] Textual Question Answering for Semantic Parsing in Natural Language Processing

[70] Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

[71] Using Language Processing and Speech Analysis for the Identification of Psychosis and Other Disorders.

[72] Natural Language Processing Tools for Assessing Progress and Outcome of Two Veteran Populations: Insights from a Novel Online Intervention for Post Traumatic Growth.

[73] Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic.

[74] Natural Language Processing to Ascertain Cancer Outcomes From Medical Oncologist Notes.

[75] Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: An Infoveillance Study on Twitter and Instagram.

[76] A Transparent and Adaptable Method to Extract Colonoscopy and Pathology Data Using Natural Language Processing.

[77] Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing.

[78] Online News Analysis of Majene Public Figure Electability with NLP (Natural Language Processing)

[79] A Novel Natural Language Processing (NLP)–Based Machine Translation Model for English to Pakistan Sign Language Translation

[80] Natural language processing (NLP) in management research: A literature review

[81] Natural language processing tools for computer assisted language learning

[82] Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

[83] Text summarization using natural language processing

[84] Smartsec4cop: Smart cyber-grooming detection using natural language processing and convolutional neural networks

[85] An efficient text-based image retrieval using natural language processing (nlp) techniques

[86] S-cogit: A natural language processing tool for linguistic analysis of the social interaction between individuals with attention-deficit disorder

[87] Natural language processing: Challenges and future directions

[88] Automatic Generation of a Thesaurus for Language and Communication Disorders Based on Natural Language Processing and Ontologies

[89] Detection of Human Trafficking Ads in Twitter Using Natural Language Processing and Image Processing

[90] Building Updated Research Agenda by Investigating Papers Indexed on Google Scholar: A Natural Language Processing Approach

[91] Biomedical Corpora and Natural Language Processing on Clinical Text in Languages Other Than English: A Systematic Review

[92] Thyroid Ultrasound Reports: Will TI-RADS Improve Natural Language Processing Capture of Critical Thyroid Nodule Features?

[93] Generation and evaluation of artificial mental health records for Natural Language Processing

[94] Computer Science Meets Education: Natural Language Processing for Automatic Grading of Open-Ended Questions in eBooks

[95] Eras: Improving the quality control in the annotation process for Natural Language Processing tasks

[96] A novel methodology to classify test cases using natural language processing and imbalanced learning

[97] A prior case study of natural language processing on different domain

[98] Review of Natural Language Processing in Radiology.

[99] second language interference during first language processing by arabic–english bilinguals

[100] language processing as cue integration: grounding the psychology of language in perception and neurophysiology

[101] CLINICAL CHARACTERISTICS AND PROGNOSTIC FACTORS FOR ICU ADMISSION OF PATIENTS WITH COVID-19: A RETROSPECTIVE STUDY USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING.