Results 51 to 60 of about 3,266 (219)

TCFLTformer: TextCNN-Flat-Lattice Transformer for Entity Recognition of Air Traffic Management Cyber Threat Knowledge Graphs

Aerospace, 2023
With the development of the air traffic management system (ATM), the cyber threat for ATM is becoming more and more serious. The recognition of ATM cyber threat entities is an important task, which can help ATM security experts quickly and accurately ...
Chao Liu, Buhong Wang, Zhen Wang, Jiwei Tian, Peng Luo, Yong Yang   +5 more
doaj   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

Cybersecurity Named Entity Recognition Using Multi-Modal Ensemble Learning

IEEE Access, 2020
Cybersecurity named entity recognition is an important part of threat information extraction from large-scale unstructured text collection in many cybersecurity applications.
Feng Yi, Bo Jiang, Lu Wang, Jianjun Wu
doaj   +1 more source

Analysis of Digital Information in Storage Devices Using Supervised and Unsupervised Natural Language Processing Techniques

Future Internet, 2023
Due to the advancement of technology, cybercrime has increased considerably, making digital forensics essential for any organisation. One of the most critical challenges is to analyse and classify the information on devices, identifying the relevant and ...
Luis Alberto Martínez Hernández, Ana Lucila Sandoval Orozco, Luis Javier García Villalba   +2 more
doaj   +1 more source

The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi, Maria Carmen Affinita, Giulia Fichera, Luisa Santoro, Angela Scagnellato, Calogero Virgone, Elena Poli, Gianni Bisogno   +7 more
wiley   +1 more source

Joint Learning of Named Entity Recognition and Entity Linking [PDF]

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2019
Named entity recognition (NER) and entity linking (EL) are two fundamentally related tasks, since in order to perform EL, first the mentions to entities have to be detected. However, most entity linking approaches disregard the mention detection part, assuming that the correct mentions have been previously detected.
Pedro Henrique Martins, Zita Marinho, André F. T. Martins   +2 more
openaire   +2 more sources

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin, Bérengère Koehl, Audrey Maudoux, Hanine Mansour, Marie‐Hélène Odievre, Nathalie Garrec, Emilie Georget, Cécile Arnaud, Slimane Allali, Lydia Doumdo, Marie Belloy, Corinne Guitton   +11 more
wiley   +1 more source

Feasibility Analysis of Entity Recognition as a Means to Create an Autonomous Technology Radar

Proceedings of the Conference on Production Systems and Logistics, 2021
Keeping up to date with the latest technology trends is crucial task for manufacturing companies to remain successful on a globally competitive market.
Schuh, Günther, Hicking, Jan, Stroh, Max-Ferdinand, Benning, Justus, Gnanaraj, Clinton, Herberger, David, Hübner, Marco   +6 more
doaj   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 more
wiley   +1 more source

OGER++: hybrid multi-type entity recognition

Journal of Cheminformatics, 2019
Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer, Anna Jancso, Nicola Colic, Fabio Rinaldi   +3 more
doaj   +1 more source