Results 51 to 60 of about 304,629 (283)
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 +5 more
wiley +1 more source
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
Recent Applications of Mesoporous Silica Nanoparticles in Gene Therapy
Advanced Healthcare Materials, EarlyView.The review summarizes the synthesis of mesoporous silica nanoparticles (MSNs) with modifiable surface properties, functionalization strategies, mechanism of therapeutic payload release, and current applications in gene therapy, focusing on their capabilities in the targeted delivery of therapeutic nucleic acids, CRISPR‐Cas systems, and other genetic ...
Tamanna Binte Huq +4 more
wiley +1 more source
Named Entity Recognition for Nepali Language [PDF]
2019 IEEE 5th International Conference on Collaboration and Internet Computing (CIC), 2019 Named Entity Recognition have been studied for different languages like English, German, Spanish and many others but no study have focused on Nepali language. In this paper we propose a neural based Nepali NER using latest state-of-the-art architecture based on grapheme-level which doesn't require any hand-crafted features and no data pre-processing ...
Ankur Padia +2 more
openaire +3 more sources
Advanced Healthcare Materials, EarlyView.Extracellular vesicles (EVs) are pivotal mediators of intercellular communication and disease, yet the fundamental mechanisms controlling their biogenesis and cargo selection remain unclear. This limitation hinders their diagnostic utility and therapeutic development.
Luís Carvalho Ferraz +2 more
wiley +1 more source
Named Entity Recognition for Malayalam
, 2022 Abstract—The process of identifying entities in a written document and categorizing them into predetermined categories such as Person, Location, Organization, and so on is known as named entity recognition. It is a vital phase in the natural language text processing process.
Silja C K, Dr.T K Bijimol
openaire +2 more sources
Generalisation in named entity recognition: A quantitative analysis [PDF]
Computer Speech & Language, 2017 Named Entity Recognition (NER) is a key NLP task, which is all the more challenging on Web and user-generated content with their diverse and continuously changing language. This paper aims to quantify how this diversity impacts state-of-the-art NER methods, by measuring named entity (NE) and context variability, feature sparsity, and their effects on ...
Augenstein, Isabelle +2 more
openaire +4 more sources
Hierarchically MOF‐Based Porous Monolith Composites for Atmospheric Water Harvesting
Advanced Materials, EarlyView.This review explores the design of hierarchical porous materials for atmospheric water harvesting, focusing on metal‐organic frameworks (MOFs) and porous monoliths. Emphasis is placed on integrating MOF nanoscale porosity with the microscale channels of monolithic scaffolds to enhance sorption‐desorption performance.
Mahyar Panahi‐Sarmad +7 more
wiley +1 more source
Boosting Named Entity Recognition with Neural Character Embeddings
, 2015 Most state-of-the-art named entity recognition (NER) systems rely on handcrafted features and on the output of other NLP tasks such as part-of-speech (POS) tagging and text chunking.
Guimarães, Victor +1 more
core +1 more source