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Showing 20 of 1,623 academic articles

Natural Language Processing

Ralph Weischedel, J Carbonell, Barbara J. Grosz, W. Lehnert et al. • Annual Review of Computer Science (1990)

From the Publisher: These ten contributions describe the major technical ideas underlying many of the significant advances in natural language processing over the last decade, focusing in particular on the challenges in areas such as knowl...

OPENALEX DOI: https://doi.org/10.1146/annurev.cs.04.060190.002251

Data augmentation techniques in natural language processing

Lucas Francisco Amaral Orosco Pellicer, Taynan Maier Ferreira, Anna Helena Reali Costa • Applied Soft Computing (2022)

Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption w...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.asoc.2022.109803

Influence in the caption: how mega influencers use language in sponsored Instagram posts

Safura Mohamed Kallier-Tar, Monique Du Bruyn • Frontiers in Communication (2026)

Background/IntroductionThe success of influencer marketers' posts on social media often hinges on the influencer's ability to resonate with their audience through the language that they use. By leveraging their unique language cues and comm...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcomm.2026.1799090

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli et al. • JMIR Medical Informatics (2019)

BACKGROUND: Novel approaches that complement and go beyond evidence-based medicine are required in the domain of chronic diseases, given the growing incidence of such conditions on the worldwide population. A promising avenue is the seconda...

OPENALEX cc-by DOI: https://doi.org/10.2196/12239 PMC: 6528438

ROLE DES RELATIONS PUBLIQUES DANS LA PERCEPTION DE L’IMAGE D’UNE ENTREPRISE : Cas de la DGDA

KUBOLA NGOMA Séraphine • Ziglôbitha (2026)

Résumé :  Les relations publiques constituent un outil stratégique de communication permettant aux organisations de construire, maintenir et améliorer leur image auprès de leurs différents publics. Les résultats de cette réflexion montrent ...

DOAJ Open Access (DOAJ) DOI: 10.60632/ziglobitha.n018.23.vol.5.2026

Caps Captioning: A Modern Image Captioning Approach Based on Improved Capsule Network

Shima Javanmardi, Ali Mohammad Latif, Mohammad Taghi Sadeghi, Mehrdad Jahanbanifard et al. • Sensors (2022)

In image captioning models, the main challenge in describing an image is identifying all the objects by precisely considering the relationships between the objects and producing various captions. Over the past few years, many methods have b...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22218376

Natural Language Processing for EHR-Based Computational Phenotyping

Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics (2018)

This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...

OPENALEX Open Access DOI: https://doi.org/10.1109/tcbb.2018.2849968 PMC: 6388621

State of Art for Semantic Analysis of Natural Language Processing

Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed Mohammed Sadeeq et al. • Qubahan Academic Journal (2021)

Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of th...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.48161/qaj.v1n2a40

Ensembles machine learning for short duration rainfall intensity forecasting

Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence (2026)

Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01772-5

A fault location method for secondary virtual circuits in smart substations based on the integration of GAE and GCN

Yuxi Wang, Yue Wang, Sha Han • Discover Artificial Intelligence (2026)

Abstract The secondary virtual circuits in smart substations enable digital and networked information exchange between devices. However, their extensive logical connections, complex structure, and implicit interdependencies pose significant...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02248-2

Contagions

Paolo Pepe • Testo & Senso (2022)

A hundred years separate two of the most successful masterpieces of English Gothic Fiction: The Monk (1796) by Matthew Gregory Lewis and Dracula (1897) by Bram Stoker. The significance of this circumstance goes beyond the mere chronological...

DOAJ Open Access (DOAJ)

The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines

A. Fenwick, G. Molnar • Discover Artificial Intelligence (2022)

Abstract One of the biggest challenges in Artificial Intelligence (AI) development and application is the lack of consideration for human enhancement as a cornerstone for its operationalization. Nor is there a universally accepted approach ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-022-00030-8

Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks

Aditi S. Krishnapriyan, Joseph Montoya, Maciej Haranczyk, Jens Hummelshøj et al. • Scientific Reports (2021)

Abstract Machine learning has emerged as a powerful approach in materials discovery. Its major challenge is selecting features that create interpretable representations of materials, useful across multiple prediction tasks. We introduce an ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-021-88027-8