Results 111 to 120 of about 408,758 (354)

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

open access: yesApplied 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

Temperature‐Enhanced Supramolecular Polymer Adhesion Provided by Concurrent Utilization of Calix[4]Pyrrole and Crown Ether Molecular Recognition

open access: yesAdvanced 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

Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss

open access: yesTransactions of the Association for Computational Linguistics, 2021
We study learning named entity recognizers in the presence of missing entity annotations. We approach this setting as tagging with latent variables and propose a novel loss, the Expected Entity Ratio, to learn models in the presence of systematically ...
Thomas Effland, Michael Collins
doaj   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

open access: yesAdvanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen   +4 more
wiley   +1 more source

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

open access: yesJisuanji 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

Reconfigurable Nucleic Acid Nanoparticles with Therapeutic RNAi Responses to Intracellular Disease Markers

open access: yesAdvanced Functional Materials, EarlyView.
Many known diseases arise from dysregulated gene expression, and differentially expressed genes can serve as biomarkers to distinguish diseased cells from healthy tissues. In this study, reconfigurable nucleic acid nanoparticles (recNANPs) are introduced that can detect overexpressed cancer biomarkers and subsequently release RNAi inducers to silence ...
Yelixza I. Avila   +7 more
wiley   +1 more source

Mining web data for competency management [PDF]

open access: yes, 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.   +4 more
core   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Named Entity Recognition: Resource Constrained Maximum Path

open access: yesITM 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

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced 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   +5 more
wiley   +1 more source

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