Results 91 to 100 of about 321,541 (313)
Named Entity Recognition on Turkish Tweets [PDF]
, 2013 Various recent studies show that the performance of named entity recognition (NER) systems developed for well-formed text types drops significantly when applied to tweets.
JACQUET GUILLAUME +2 more
core
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition
, 2019 Traditional language models are unable to efficiently model entity names observed in text. All but the most popular named entities appear infrequently in text providing insufficient context.
Du, Jingfei +2 more
core +1 more source
Advanced Materials Technologies, EarlyView.Additive manufacturing revolutionizes production by enabling on‐demand, customized, and sustainable manufacturing with streamlined supply chains. While metal and polymer AM are well‐established, advanced ceramic AM is rapidly emerging, overcoming traditional material challenges.
Kateryna Oleksandrivna Shvydyuk +2 more
wiley +1 more source
A Dual‐Emissive DNA‐Templated Silver Nanocluster with Near‐Infrared I and II Emission
Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.This study presents a dual‐emissive DNA‐stabilized silver nanocluster with a nanosecond‐lived NIR‐I emission band and a microsecond‐lived NIR‐II emission band. Mass spectrometry establishes that the nanocluster has molecular formula (DNA)2[Ag17]11+. DNA sequence variations reveal critical nucleobases for stabilization, and modifications at the DNA 5 ...
Anna Gonzàlez‐Rosell +6 more
wiley +1 more source
Malay Named Entity Recognition: A Review
Journal of ICT in Education, 2015 The Named Entity Recognition (NER) field had been thriving for more than 15 years. NER could be defined as a process that recognizes named entities, such as the names of persons, organizations, locations, times, and quantities.
Farid Morsidi +4 more
doaj
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
IEEE Access, 2019 The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature.
Donghyeon Kim +8 more
doaj +1 more source
White Light Generation From YAG:Ce‐Doped Phosphate Glass‐Based Composite Fibers
Advanced Optical Materials, EarlyView.The first white‐light‐emitting composite fiber based on YAG:Ce3+ phosphors in phosphate glass is developed. The glass composition is custom‐engineered to enhance thermal stability and to match YAG:Ce3+ refractive index, ensuring composite transparency.
Khaldoon Nasser +9 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition
, 2017 KnowNER is a multilingual Named Entity Recognition (NER) system that leverages different degrees of external knowledge. A novel modular framework divides the knowledge into four categories according to the depth of knowledge they convey.
Del Corro, Luciano +4 more
core
On–Off Switchable Micromotors for Use in Steerable Microvehicles
Advanced Robotics Research, EarlyView.Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson +3 more
wiley +1 more source