Results 91 to 100 of about 314,969 (284)

Malay Named Entity Recognition: A Review

Journal of ICT in Education, 2015
The Named Entity Recognition (NER) field had been thriving for more than 15 years. NER could be defined as a process that recognizes named entities, such as the names of persons, organizations, locations, times, and quantities.
Farid Morsidi, Sulaiman Sarkawi, Suliana Sulaiman, Siti Asma Mohammad, Rohaizah Abdul Wahid   +4 more
doaj  

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

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

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition

, 2017
KnowNER is a multilingual Named Entity Recognition (NER) system that leverages different degrees of external knowledge. A novel modular framework divides the knowledge into four categories according to the depth of knowledge they convey.
Del Corro, Luciano, Dembelova, Tatiana, Hoffart, Johannes, Seyler, Dominic, Weikum, Gerhard   +4 more
core  

Biomimetic Cell Membrane‐Coated MOFs System for Targeted Cancer Therapy

Advanced Science, EarlyView.
Biomimetic MOF‐based drug delivery nanoplatforms synthesized using liposomes or cell membranes as camouflage for multiple cancer therapeutics. ABSTRACT The integration of metal‐organic frameworks (MOFs) with cell membrane coatings has emerged as a revolutionary strategy to enhance the therapeutic efficacy of cancer nanomedicine.
Qilu Wu, Jia Song Deon Chon, Yuxiao Feng, Kang Liang, Shiming Li, Can Yang Zhang, Jun Ge   +6 more
wiley   +1 more source

GermEval 2014 Named Entity Recognition Shared Task: Companion Paper [PDF]

, 2014
This paper describes the GermEval 2014 Named Entity Recognition (NER) Shared Task workshop at KONVENS. It provides background information on the motivation of this task, the data-set, the evaluation method, and an overview of the participating systems ...
Benikova, Darina, Biemann, Chris, Kisselew, Max, Padó, Sebastian   +3 more
core  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Unleashing the power of pinyin: promoting Chinese named entity recognition with multiple embedding and attention

Complex & Intelligent Systems
Named Entity Recognition (NER) aims to identify entities with specific meanings and their boundaries in natural language texts. Due to the differences between Chinese and English language families, Chinese NER faces challenges such as ambiguous word ...
Jigui Zhao, Yurong Qian, Shuxiang Hou, Jiayin Chen, Kui Wang, Min Liu, Aizimaiti Xiaokaiti   +6 more
doaj   +1 more source

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

BMC Medical Informatics and Decision Making, 2019
Background This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance.
Wangjin Lee, Jinwook Choi
doaj   +1 more source