Results 71 to 80 of about 318,360 (330)

Overview of Named Entity Recognition

Journal of Contemporary Educational Research, 2022
Named entity recognition, as a sub-task of information extraction, has attracted widespread attention from scholars at home and abroad since it was proposed, and a series of studies and discussions have been carried out based on it. This paper discusses the existing named entity recognition technology based on its history of development.
Xing Liu, Huiqin Chen, Wangui Xia
openaire   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Iterative Named Entity Recognition with Conditional Random Fields

Applied Sciences, 2021
Named entity recognition (NER) constitutes an important step in the processing of unstructured text content for the extraction of information as well as for the computer-supported analysis of large amounts of digital data via machine learning methods ...
Ana Alves-Pinto, Christoph Demus, Michael Spranger, Dirk Labudde, Eleanor Hobley   +4 more
doaj   +1 more source

Integrated Metallo‐Dielectric 3D Hotspots From High Refractive Index Nanodiamond‐Plasmonic Gold Cryosoret Nano‐Assemblies for Photonic Crystal Enhanced Fluorescence

Advanced Functional Materials, EarlyView.
This work presents a novel sensing platform using metallo‐dielectric cryosoret nano‐assemblies and lossless photonic crystals to overcome limitations of conventional plasmonic biosensors. The hybrid system enhances both electric and magnetic field interactions, enabling amplified fluorescence, ultralow detection limits, and prism‐free, objective‐free ...
Seemesh Bhaskar, Weinan Liu, Skye Shepherd, Devinda Wijewardena, Joseph Tibbs, Brian T. Cunningham   +5 more
wiley   +1 more source

Named Entity Recognition Based on Multi-scale Attention [PDF]

Jisuanji kexue yu tansuo
The accuracy of named entity recognition (NER) task will promote the research of multiple downstream tasks in natural language field. Due to a large number of nested semantics in text, named entities are recognized difficultly.
TANG Ruixue, QIN Yongbin, CHEN Yanping
doaj   +1 more source

Integrated Model for Morphological Analysis and Named Entity Recognition Based on Label Attention Networks in Korean

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

An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition [PDF]

, 2022
Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang   +5 more
openalex   +1 more source

Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production

Advanced Functional Materials, EarlyView.
Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider, S. Esmael Balaghi, Niklas Ortlieb, Patrick Elsaesser, Sima Heidari, Christopher S. Allen, Anna Fischer   +6 more
wiley   +1 more source

Mining web data for competency management [PDF]

, 2005
We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and ...
Goncalves, A.L., Motta, E., Pacheco, R., Uren, V.S., Zhu, J.   +4 more
core   +1 more source

An Ultrafast Self‐Gelling Versatile Hydrogel for Rapid Infected Burn Wound Repair in Military Medicine

Advanced Functional Materials, EarlyView.
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang, Zhangrui Wu, Xiansheng Zhao, Geng Wang, Quyang Yang, Minxia zhang, Xiaowei Wang, Xiujun Cheng, Changyue Wu, Dan Wu, Yutian Yang, Canbin Dong, Tao Zhang, Weiqiang Tan, Ningwen Zhu   +14 more
wiley   +1 more source