Results 111 to 120 of about 379,251 (377)
Applied Sciences, 2020 In well-spaced Korean sentences, morphological analysis is the first step in natural language processing, in which a Korean sentence is segmented into a sequence of morphemes and the parts of speech of the segmented morphemes are determined. Named entity
Hongjin Kim, Harksoo Kim
doaj +1 more source
pioNER: Datasets and Baselines for Armenian Named Entity Recognition [PDF]
, 2018 In this work, we tackle the problem of Armenian named entity recognition, providing silver- and gold-standard datasets as well as establishing baseline results on popular models. We present a 163000-token named entity corpus automatically generated and annotated from Wikipedia, and another 53400-token corpus of news sentences with manual annotation of ...
arxiv +1 more source
Neural Reranking for Named Entity Recognition
RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning, 2017 We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve named entity mentions. In particular, given an output sentence produced by a baseline NER model, we replace all entity mentions, such as \textit{Barack Obama}, into their ...
Yue Zhang, Jie Yang, Fei Dong
openaire +3 more sources
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Huntington's disease (HD) speech/language disorders have typically been attributed to motor and executive impairment due to striatal dysfunction. In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce.
Arnau Puig‐Davi +13 more
wiley +1 more source
Named Entity Recognition: Resource Constrained Maximum Path
ITM Web of Conferences, 2017 Information Extraction (IE) is a process focused on automatic extraction of structured information from unstructured text sources. One open research field of IE relates to Named Entity Recognition (NER), aimed at identifying and associating atomic ...
Di Puglia Pugliese Luigi +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Mesenchymal stem cell‐derived nanoghosts (MSC‐NGs) mimic naturally secreted extracellular vesicles (MSC‐EVs) in structure and physicochemical properties but can be synthesized at more translatable yields. As osteogenic agents, MSC‐NGs demonstrate superior outcomes compared to MSC‐EVs.
Antoine Karoichan +4 more
wiley +1 more source
DroNER: Dataset for drone named entity recognition
Data in Brief, 2023 The dataset is constructed from the drone flight log messages extracted from publicly available drone image datasets provided by VTO Labs under the Drone Forensic Program.
Swardiantara Silalahi +2 more
doaj
Advanced Functional Materials, EarlyView.Simultaneous utilization of calix[4]pyrrole‐ and crown ether‐based molecular recognition allows the construction of a high molecular weight alternating supramolecular polymer. This heat processible polymer can be used as a durable and reusable adhesive on glass and steel with temperature‐enhanced adhesion strength without the need for a solvent ...
Deniz Memis, Abdullah Aydogan
wiley +1 more source
Mixup Based Cross-Consistency Training for Named Entity Recognition
Applied Sciences, 2022 Named Entity Recognition (NER) is at the core of natural language understanding. The quality and amount of datasets determine the performance of deep-learning-based NER models.
Geonsik Youn +4 more
doaj +1 more source