Do gender stereotypes bias the processing of morphological innovations? The case of gender-inclusive language in Spanish by Stetie Noelia Ayelén, Zunino Gabriela Mariel

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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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Automatically generated language learning exercises for Finno-Ugric languages by Zsanett Ferenczi

Subjects: “…natural language processing…”
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Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm by Dorota Mozyrska, Ewa Pawluszewicz

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Cross-modal matching of monosyllabic and bisyllabic items varying in phonotactic probability and lexicality by Kauyumari Sanchez

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SQL Injection Detection Based on Lightweight Multi-Head Self-Attention by Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai

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Towards the implementation of automated scoring in international large-scale assessments: Scalability and quality control by Ji Yoon Jung, Lillian Tyack, Matthias von Davier

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TurkMedNLI: a Turkish medical natural language inference dataset through large language model based translation by İskender Ülgen Oğul, Fatih Soygazi, Belgin Ergenç Bostanoğlu

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Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation by Nagalakshmi R, Surbhi Bhatia Khan, Ananthoju Vijay kumar, Mahesh T R, Mohammad Alojail, Saurabh Raj Sangwan, Mo Saraee

Subjects: “…Natural language processing…”
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KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt by Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang

Subjects: “…natural language processing…”
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Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models by Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior

Subjects: “…Natural Language Processing…”
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An Evaluation on the Potential of Large Language Models for Use in Trauma Triage by Kelvin Le, Jiahang Chen, Deon Mai, Khang Duy Ricky Le

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Leveraging Cognitive Machine Reasoning and NLP for Automated Intent-Based Networking and e2e Service Orchestration by Muhammad Asif, Talha Ahmed Khan, Wang-Cheol Song

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Artificial Intelligence in Recruitment: Navigating the Era of Web 4.0 by Hamza Melliani, Imane Mouhtat, Wafa Kerfal, Ayoub Razouk

Subjects: “…Web 4.0 Recruitment, Automation of Recruitment, Artificial Intelligence, Natural Language Processing, Recruitment Techniques…”
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Artificial intelligence artificial muscle of dielectric elastomers by Dongyang Huang, Jiaxuan Ma, Yubing Han, Chang Xue, Mengying Zhang, Weijia Wen, Sheng Sun, Jinbo Wu

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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

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Enhancing Privacy While Preserving Context in Text Transformations by Large Language Models by Tymon Lesław Żarski, Artur Janicki

Subjects: “…natural language processing…”
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Digital Diagnostics: The Potential of Large Language Models in Recognizing Symptoms of Common Illnesses by Gaurav Kumar Gupta, Aditi Singh, Sijo Valayakkad Manikandan, Abul Ehtesham

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Analytical Comparison of Stop Word Recognition Methods in Persian Texts by Mohammad Samie, Erta Bahmani, Niloofar Mozafari

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A Multitask Multiview Neural Network for End-to-End Aspect-Based Sentiment Analysis by Yong Bie, Yan Yang

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