Results 101 to 110 of about 321,295 (333)
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 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 +4 more
core
On–Off Switchable Micromotors for Use in Steerable Microvehicles
Advanced Robotics Research, EarlyView.Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson +3 more
wiley +1 more source
Advanced Science, EarlyView.Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo +6 more
wiley +1 more source
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
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 +3 more
core
Annotated Job Ads with Named Entity Recognition [PDF]
, 2023 Felix Stollenwerk +3 more
openalex +1 more source
Advanced Science, EarlyView.FPD‐GELNs co‐deliver Su and bioactive components. This active‐passive dual‐targeting strategy suppresses the progression of RCC through the following mechanisms: 1) inhibition of the PI3K‐Akt signaling pathway; 2) downregulation of ABCB1/P‐gp to enhance the chemosensitivity of RCC to Su; and 3) reprogramming of macrophages toward M1 polarization and ...
Haoyu Xu +8 more
wiley +1 more source
Evaluation of Named Entity Recognition Algorithms in Short Texts
CLEI Electronic Journal, 2017 : One of the major consequences of the growth of social networks has been the generation of huge volumes of content. The text that is generated in social networks constitutes a new type of content, that is short, informal, lacking grammar in some cases,
Edgar Casasola Murillo, Raquel Fonseca
doaj +1 more source
Advanced Science, EarlyView.Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao +18 more
wiley +1 more source