Results 121 to 130 of about 408,758 (354)

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, KUCUK DILEK, STEINBERGER Ralf   +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, Liu, Angli, Stoyanov, Veselin   +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, Punnya Anil Kumar Jeeja, Sudip Kumar Dam, Sabya Sachi Das, Juan L. Vivero‐Escoto   +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, Oyesh Mann Singh, Anupam Joshi   +2 more
openaire   +3 more sources

Molecular Mechanisms of Extracellular Vesicle Biogenesis and Their Impact on the Design of Custom EVs

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, Paulo Pereira, João Vasco Ferreira   +2 more
wiley   +1 more source

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, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo Kang   +8 more
doaj   +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, Derczynski, Leon, Bontcheva, Kalina   +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, Tianyu Guo, Seyyed Alireza Hashemi, Ahmadreza Ghaffarkhah, Stefan Wuttke, Mohammad Arjmand, Orlando J. Rojas, Feng Jiang   +7 more
wiley   +1 more source

Named Entity Recognition Datasets: A Classification Framework

International Journal of Computational Intelligence Systems
Named entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language processing. In the age of Internet information, as far as computer applications are concerned, a huge proportion ...
Ying Zhang, Gang Xiao
doaj   +1 more source