Results 121 to 130 of about 16,624 (311)
Towards semantic-rich word embeddings [PDF]
Annals of computer science and information systems, 2019 Grzegorz Beringer +4 more
doaj +1 more source
Deterministic Compression of Word Embeddings
IEEE AccessWord embeddings are an indispensable technology in the field of artificial intelligence, particularly when working with natural language processing models.
Yuki Nakamura +3 more
doaj +1 more source
When Polysemy Matters: Modeling Semantic Categorization with Word Embeddings [PDF]
, 2022 Elizabeth Soper, Jean-pierre Koenig
openalex +1 more source
Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review
Advanced Healthcare Materials, EarlyView.Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami +4 more
wiley +1 more source
Ti6Al4V‐Bioglass‐Copper Composites for Load‐Bearing Implants
Advanced Healthcare Materials, EarlyView.We have designed and manufactured a novel Ti64‐based composite by adding 45S5 bioglass (BG) and copper (Cu). Adding BG on titanium improves wear resistance and biocompatibility, whereas Cu addition improves mechanical strength while providing inherent lifelong bacterial resistance.
Lochan Upadhayay +3 more
wiley +1 more source
Learning bilingual word embeddings with (almost) no bilingual data [PDF]
, 2017 Mikel Artetxe +2 more
openalex +1 more source
Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture
Advanced Healthcare Materials, EarlyView.This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus +9 more
wiley +1 more source
Poincar�� GloVe: Hyperbolic Word Embeddings
, 2018 Words are not created equal. In fact, they form an aristocratic graph with a latent hierarchical structure that the next generation of unsupervised learned word embeddings should reveal. In this paper, justified by the notion of delta-hyperbolicity or tree-likeliness of a space, we propose to embed words in a Cartesian product of hyperbolic spaces ...
Tifrea, Alexandru +2 more
openaire +2 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Learning Word Embeddings with Chi-Square Weights for Healthcare Tweet Classification [PDF]
, 2017 Sicong Kuang, Brian D. Davison
openalex +1 more source