Results 101 to 110 of about 408,758 (354)

Named entity recognition in resumes

, 2023
Named entity recognition (NER) is used to extract information from various documents and texts such as names and dates. It is important to extract education and work experience information from resumes in order to filter them. Considering the fact that all information in a resume has to be entered to the companys system manually, automatizing this ...
Kesim, Ege, Deliahmetoglu, Aysu
openaire   +2 more sources

Single‐cell transcriptomics redefines focal neuroendocrine differentiation as a distinct prostate cancer pathology

Molecular Oncology, EarlyView.
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban, Shivakumar Keerthikumar, Ashlee Clark, Hong Wang, Belinda Phipson, Andrew Bakshi, Andrew Ryan, Heather Thorne, Renea A. Taylor, Mitchell G. Lawrence, Gail P. Risbridger, Roxanne Toivanen, David L. Goode   +12 more
wiley   +1 more source

Named Entity Recognition in Twitter using Images and Text

, 2017
Named Entity Recognition (NER) is an important subtask of information extraction that seeks to locate and recognise named entities. Despite recent achievements, we still face limitations with correctly detecting and classifying entities, prominently in ...
Esteves, Diego, Lehmann, Jens, Napolitano, Giulio, Peres, Rafael   +3 more
core   +1 more source

Repeat Expansions in PLIN4 Cause Autosomal Dominant Vacuolar Myopathy With Sarcolemmal Features

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to describe and characterize two unrelated Spanish families suffering from an autosomal dominant autophagic vacuolar myopathy caused by repeat expansions in PLIN4. Methods We evaluated the clinical phenotype and muscle imaging, and performed a genetic workup that included exome sequencing, muscle RNAseq, and long‐read genome ...
Laura Llansó, Igor Stevanovski, Germán Morís, Roger Collet‐Vidiella, Alba Segarra‐Casas, Lidia González‐Quereda, Benjamín Rodríguez‐Santiago, Pia Gallano, Rodrigo Alvarez, Ana Vesperinas, Rosa Blanco, Beatriz San‐Millán, Carmen Navarro, Isabel Illa, Gianina Ravenscroft, Ira W. Deveson, Eduard Gallardo, Montse Olivé   +17 more
wiley   +1 more source

Microphysiological Glomerular Filtration Barriers: Current Insights, Innovations, and Future Applications

Advanced Biology, EarlyView.
The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran, Kieu Ngo, David Buob, Hanna Debiec, Pierre Ronco, Guillaume Perry   +5 more
wiley   +1 more source

A Simulative Evaluation of Triply Periodic Minimal Surface Structures in the Context of Elastocaloric Applications

Advanced Engineering Materials, EarlyView.
A simulative evaluation of triply periodic minimal surface (TPMS) structures for an elastocaloric application under compressive load is performed. For the evaluation of the structure's performance, surface/volume ratio, generated heat and invested mechanical work are taken into account and are compared to a tube as a reference specimen.
Michael Fries, Paul Motzki, Dirk Bähre, Anne Jung   +3 more
wiley   +1 more source

Challenges and solutions for Latin named entity recognition [PDF]

, 2016
Although spanning thousands of years and genres as diverse as liturgy, historiography, lyric and other forms of prose and poetry, the body of Latin texts is still relatively sparse compared to English.
Ajaka, Petra, Brown, Christopher, de Marneffe, Marie-Catherine, Elsner, Micha, Erdmann, Alex, Janse, Mark, Joseph, Brian D.   +6 more
core  

Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping

, 2016
The state-of-the-art named entity recognition (NER) systems are statistical machine learning models that have strong generalization capability (i.e., can recognize unseen entities that do not appear in training data) based on lexical and contextual ...
Florian, Radu, Ni, Jian
core   +1 more source

Taxonomy Expansion for Named Entity Recognition

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize additional entity types. A simple approach is to re-annotate entire dataset with both existing and additional entity types and then train the model on the re-annotated dataset ...
K, Karthikeyan, Vyas, Yogarshi, Ma, Jie, Paolini, Giovanni, John, Neha, Wang, Shuai, Benajiba, Yassine, Castelli, Vittorio, Roth, Dan, Ballesteros, Miguel   +9 more
openaire   +2 more sources

Highly Stable Low‐Temperature Phosphate Glass as a Platform for Multimaterial 3D Printing of Integrated Functional Microfluidic Devices

Advanced Engineering Materials, EarlyView.
A highly stable, low‐temperature phosphate glass is developed for multimaterial additive manufacturing of multifunctional microfluidics. Glass, metal conductors, and sacrificial polymer are coprinted, enabling monolithic fabrication. The sacrificial paste forms precise channels and decomposes during sintering.
Babak Mazinani, Mustafa M. Fadlelmula, Vivek Subramanian   +2 more
wiley   +1 more source