Results 71 to 80 of about 177,864 (288)

An Artificial Antibody‐Based Toolbox Accelerates Validation of Hidden Microproteins Encoded by the Dark Genome

Advanced Science, EarlyView.
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He, Anqi Zhang, Zhanchen Guo, Qi Li, Song Gao, Wenyan Guan, Ying Li, Jingran Chen, Sijia Sun, Jian He, Zhen Liu   +10 more
wiley   +1 more source

Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer

Jurnal Teknologi Informasi dan Ilmu Komputer
Pelayanan pelanggan atau customer service adalah sebuah bentuk upaya pemenuhan keinginan dan kebutuhan pelanggan yang disertai dengan ketepatan penyampaian sesuai standar perusahaan demi memenuhi harapan pelanggan.
Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara   +2 more
doaj   +3 more sources

Tagging Named Entities in Croatian Tweets

Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2016
Named entity extraction tools designed for recognizing named entities in texts written in standard language (e.g., news stories or legal texts) have been shown to be inadequate for user-generated textual content (e.g., tweets, forum posts). In this work,
Krešimir Baksa, Dino Golović, Goran Glavaš, Jan Šnajder   +3 more
doaj   +1 more source

Named Entity Recognition and Classification System for Persian Texts Based on Neural Networks

Iranian Journal of Information Processing & Management, 2018
Named Entity Recognition (NER) is considered a fundamental task in the field of Natural Language Processing (NLP) and is generally a subset of information extraction. In the NER process, the goal is to locate named entities in the text and classify them into predefined categories such as names of people, organizations, locations, time expressions, and ...
Mojtaba Zali, Mohsen Firoozbakht
openaire   +2 more sources

Supporting Named Entity Recognition and Document Classification in a Knowledge Management System for Applied Gaming

International Conference on Knowledge Engineering and Ontology Development, 2020
: In this research paper, we present a system for named entity recognition and automatic document classification in an innovative knowledge management system for Applied Gaming.
Philippe Tamla, F. Freund, M. Hemmje
semanticscholar   +1 more source

Heme‐NO Dilates Arteries via Mobilization of NO Moieties From an Intracellular NO Store Within Vascular Smooth Muscle Cells

Advanced Science, EarlyView.
Nitrosyl heme emerges as an extracellular nitrodilator that dilates arteries without crossing the cell membrane. Instead, heme‐NO mobilizes NO moieties from a preformed intracellular NO store within vascular smooth muscle, providing both functional and chemical evidence for the NANOS model, revealing a previously unrecognized mechanism of arterial ...
Taiming Liu, Meijuan Zhang, Lingchao Zhu, Haiyan Ke, Amancio de Souza, Qian Li, Daniel Castella, Nicolai Lehnert, Lubo Zhang, Arlin B. Blood   +9 more
wiley   +1 more source

Diversity Patterns of Domestic Herbivore Viruses in China Reveal Transmission Dynamics with Disease Management Implications

Advanced Science, EarlyView.
This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun, Yong Li, Bagen Temur, Yuanqing Lin, Yuhang Liu, Le Yi, Zheng Sun, Gang Zhang, Jun Li, Yu Guo, Linchuan Li, Jinshan Cai, Wenliang Tian, Gen Meng, Lingling Jiang, Min Fang, Fuying Ding, Xuezhang Zhou, Changchun Tu, Biao He   +19 more
wiley   +1 more source

Quantifying Uncertainties in Natural Language Processing Tasks

, 2018
Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable.
Wang, William Yang, Xiao, Yijun
core   +1 more source

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

Advanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska, Kristina Bartmann, Georgea Raad, Mats Schade, Luiz Ladeira, Arif Dönmez, Jördis Klose, Nicolai Görts, Denis Polozij, Lynn‐Christin Saborowski, Farina Bendt, Bernard Staumont, Liesbet Geris, Katharina Koch, Ellen Fritsche   +14 more
wiley   +1 more source

Dual-Graph Multimodal Named Entity Recognition With Optimal Transport Fusion

IEEE Access
Multimodal Named Entity Recognition (MNER) aims to leverage both textual and visual information to perform entity recognition and classification tasks collaboratively, holding significant application value in scenarios such as social media.
Shihong Wu, Yupeng Ma, Ming Zhang
doaj   +1 more source