Results 131 to 140 of about 16,624 (311)
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words
, 2019 Word embeddings are one of the most useful tools in any modern natural language processing expert's toolkit. They contain various types of information about each word which makes them the best way to represent the terms in any NLP task. But there are some types of information that cannot be learned by these models.
Seyeditabari, Armin +3 more
openaire +2 more sources
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Multifunctional Fluidic Units for Emergent, Responsive Robotic Behaviors
Advanced Materials, EarlyView.A multifunctional reconfigurable fluidic unit can be used as sensor, valve and actuator is presented. A unique configuration combines the features of the three components as a Responsive self‐oscillating actuator. The remarkable versatility of the fluidic unit is demonstrated by building different robots with the same fluidic units only by varying ...
Mostafa Mousa +3 more
wiley +1 more source
Content-Based Recommender System using Word Embeddings for Pedagogical Resources
, 2023 Chahrazed Mediani +2 more
openalex +2 more sources
Advanced Materials, EarlyView.This study demonstrates a self‐assembly process to generate free‐standing piezoelectric nanomembranes, forming ultracompact microtubular acoustic wave sensors and actuators. The miniaturized 3D piezoelectric platform reported in this work can be applied in telecommunication, energy harvesting, and acoustofluidics. Moreover, the 3D self‐assembly can add
Raphaël C. L‐M. Doineau +9 more
wiley +1 more source
Advanced Materials, EarlyView.Multiphase printable organohydrogels with tunable microstructures are developed to control molecular transport pathways for immiscible cargo. The tortuosity and domain size of the colloidal phases are tuned by adjusting temperature and shear during processing, which enables the tailoring of diffusion kinetics due to different transport pathways.
Riley E. Dowdy‐Green +4 more
wiley +1 more source
Compressed models for co-reference resolution: enhancing efficiency with debiased word embeddings. [PDF]
Sci Rep, 2023 Ioannides G +4 more
europepmc +1 more source
Word Embeddings for Practical Information Retrieval
, 2017 Lukas Galke, Ahmed Saleh, Ansgar Scherp
openalex +2 more sources
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings [PDF]
, 2021 Yanzhu Guo +2 more
openalex +1 more source