Results 31 to 40 of about 304,629 (283)

Boosting for named entity recognition [PDF]

proceeding of the 6th conference on Natural language learning - COLING-02, 2002
This paper presents a system that applies boosting to the task of named-entity identification. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented system uses boosting to combine a set of weak ...
Grace Ngai, Marine Carpuat, Yongsheng Yang, Jeppe Larsen, Dekai Wu   +4 more
openaire   +2 more sources

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

FEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan, Victoria Scarpelli, Marten Exterkate   +2 more
wiley   +1 more source

Deep Active Learning for Named Entity Recognition [PDF]

, 2018
Deep learning has yielded state-of-the-art performance on many natural language processing tasks including named entity recognition (NER). However, this typically requires large amounts of labeled data.
Anandkumar, Animashree, Kronrod, Yakov, Lipton, Zachary C., Shen, Yanyao, Yun, Hyokun   +4 more
core   +1 more source

Few-shot classification in Named Entity Recognition Task

, 2018
For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning or meta-learning.
Akhundov Adnan, Cotterell Ryan, Ma Yukun, Pradhan Sameer, Ravi Sachin, Snell Jake   +5 more
core   +1 more source

Chinese named entity recognition using lexicalized HMMs [PDF]

, 2005
This paper presents a lexicalized HMM-based approach to Chinese named entity recognition (NER). To tackle the problem of unknown words, we unify unknown word identification and NER as a single tagging task on a sequence of known words.
Fu, G, Luke, KK
core   +1 more source

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