Results 131 to 140 of about 2,031,469 (352)
Advanced Materials, EarlyView.In this review, the recent development of deep‐blue (≤465 nm) perovskite light‐emitting diodes (PeLEDs) are summarized, using different perovskite nanomaterials, including nanocrystals (NCs), quantum dots (QDs), nanoplatelets (NPLs), quasi‐2D thin film, 3D bulk thin film, as well as lead‐free perovskite nanomaterials.
Pui Kei Ko +6 more
wiley +1 more source
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings [PDF]
arXiv, 2019 Gender bias is highly impacting natural language processing applications. Word embeddings have clearly been proven both to keep and amplify gender biases that are present in current data sources. Recently, contextualized word embeddings have enhanced previous word embedding techniques by computing word vector representations dependent on the sentence ...
arxiv
Dependency-Based Word Embeddings
Annual Meeting of the Association for Computational Linguistics, 2014 While continuous word embeddings are gaining popularity, current models are based solely on linear contexts. In this work, we generalize the skip-gram model with negative sampling introduced by Mikolov et al. to include arbitrary contexts. In particular,
Omer Levy, Yoav Goldberg
semanticscholar +1 more source
Biomedical Word Sense Disambiguation with Word Embeddings [PDF]
, 2017 There is a growing need for automatic extraction of information and knowledge from the increasing amount of biomedical and clinical data produced, namely in textual form. Natural language processing comes in this direction, helping in tasks such as information extraction and information retrieval.
Antunes, Rui, Matos, Sérgio
openaire +3 more sources
Evaluation of acoustic word embeddings [PDF]
Proceedings of the 1st Workshop on Evaluating Vector-Space
Representations for NLP, 2016 Recently, researchers in speech recognition have started to reconsider using whole words as the basic modeling unit, instead of phonetic units. These systems rely on a function that embeds an arbitrary or fixed dimensional speech segments to a vector in a fixed-dimensional space, named acoustic word embedding.
Ghannay, Sahar +3 more
openaire +3 more sources
Pushing Radiative Cooling Technology to Real Applications
Advanced Materials, EarlyView.Radiative cooling controls surface optical properties for solar and thermal radiation, offering solutions for global warming and energy savings. Despite significant advances, key challenges remain: optimizing optical efficiency, maintaining aesthetics, preventing overcooling, enhancing durability, and enabling scalable production.
Chongjia Lin +8 more
wiley +1 more source
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy [PDF]
arXiv, 2020 Word translation is an integral part of language translation. In machine translation, each language is considered a domain with its own word embedding. The alignment between word embeddings allows linking semantically equivalent words in multilingual contexts.
arxiv
, 2017 In the proceedings of the International Conference on Machine Learning (ICML 2017); 8 pages + references and ...
Bamler, Robert, Mandt, Stephan
openaire +2 more sources
A Bio‐Inspired Perspective on Materials Sustainability
Advanced Materials, EarlyView.This perspective discusses natural materials as inspiration for sustainable engineering designs and the processing of materials. First, circularity, longevity, parsimony, and activity are presented as essential material paradigms. The perspective then uses many examples of natural and technical materials to introduce principles such as oligo ...
Wolfgang Wagermaier +2 more
wiley +1 more source
Surface and Deep Features Ensemble for Sentiment Analysis of Arabic Tweets
IEEE Access, 2019 Sentiment analysis (SA) of Arabic tweets is a complex task due to the rich morphology of the Arabic language and the informal nature of language on Twitter.
Nora Al-Twairesh, Hadeel Al-Negheimish
doaj +1 more source