Using word embeddings to analyse audience effects and individual differences in parenting Subreddits. [PDF]
EPJ Data Sci, 2023 Sepahpour-Fard M +3 more
europepmc +1 more source
Large scale image annotation: learning to rank with joint word-image embeddings [PDF]
, 2010 Jason Weston +2 more
openalex +1 more source
How to Achieve High Spatial Resolution in Organic Optobioelectronic Devices?
Advanced Materials Interfaces, EarlyView.This study explores how the optoelectronic properties of organic semiconductors impact on the resolution of light‐activated bioelectronic interfaces. Using photovoltage and photocurrent microscopy techniques, the authors show that H2PC/PTCDI heterojunctions enable a resolution down to 6.5 µm due to low carrier mobility along the heterojunction.
Luca Fabbri +9 more
wiley +1 more source
Better Word Embeddings by Disentangling Contextual n-Gram Information [PDF]
arXiv, 2019 Pre-trained word vectors are ubiquitous in Natural Language Processing applications. In this paper, we show how training word embeddings jointly with bigram and even trigram embeddings, results in improved unigram embeddings. We claim that training word embeddings along with higher n-gram embeddings helps in the removal of the contextual information ...
arxiv
Advanced Materials Interfaces, EarlyView.This paper demonstrates how Tip‐Enhanced Raman Spectroscopy (TERS) can detect diverse levels of strain in a SiGe‐Si structure in less than 20 nm of depth with lateral resolution under 100 nm. The measures are performed with a TiN‐coated probe, which secures a remarkable enhancement of the optical signal, while being chemically stable to allow TERS to ...
Chiara Mancini +6 more
wiley +1 more source
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings [PDF]
arXiv, 2019 Word embeddings typically represent different meanings of a word in a single conflated vector. Empirical analysis of embeddings of ambiguous words is currently limited by the small size of manually annotated resources and by the fact that word senses are treated as unrelated individual concepts.
arxiv
Comparison of the accuracy of Japanese synonym identifications using word embeddings in the radiological technology field. [PDF]
Sci Rep, 2023 Yagahara A, Yokohama N.
europepmc +1 more source
Advanced Materials Interfaces, EarlyView.Carbon dot‐doped silica xerogel phosphors derived by Sol–Gel method exhibit brilliant white light, making them promising candidates for next‐generation endoscopes. The approach offers a sustainable, scalable solution for the development of advanced endoscopic devices with enhanced imaging capabilities and reduced environmental impacts.
Hirohisa Iwabayashi +5 more
wiley +1 more source
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context [PDF]
arXiv, 2018 Word embeddings are a key component of high-performing natural language processing (NLP) systems, but it remains a challenge to learn good representations for novel words on the fly, i.e., for words that did not occur in the training data. The general problem setting is that word embeddings are induced on an unlabeled training corpus and then a model ...
arxiv
Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings. [PDF]
Front Med (Lausanne), 2023 Zulfiqar H +8 more
europepmc +1 more source