Results 101 to 110 of about 2,031,469 (352)
Advanced Biology, EarlyView.Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi +4 more
wiley +1 more source
Investigating Word Meta-Embeddings by Disentangling Common and Individual Information
IEEE Access, 2020 In the field of natural language processing, combining multiple pre-trained word embeddings has become a viable approach to improve word representations. However, there is still a lack of understanding of why such improvements can be achieved.
Wenfan Chen +3 more
doaj +1 more source
A Nested Chinese Restaurant Topic Model for Short Texts with Document Embeddings
Applied Sciences, 2021 In recent years, short texts have become a kind of prevalent text on the internet. Due to the short length of each text, conventional topic models for short texts suffer from the sparsity of word co-occurrence information.
Yue Niu, Hongjie Zhang, Jing Li
doaj +1 more source
, 2019 This work lists and describes the main recent strategies for building fixed-length, dense and distributed representations for words, based on the distributional hypothesis. These representations are now commonly called word embeddings and, in addition to encoding surprisingly good syntactic and semantic information, have been proven useful as extra ...
Almeida, Felipe, Xexéo, Geraldo
openaire +2 more sources
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
Advanced Engineering Materials, EarlyView.The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker +5 more
wiley +1 more source
Better Word Representation Vectors Using Syllabic Alphabet: A Case Study of Swahili
Applied Sciences, 2019 Deep learning has extensively been used in natural language processing with sub-word representation vectors playing a critical role. However, this cannot be said of Swahili, which is a low resource and widely spoken language in East and Central Africa ...
Casper S. Shikali +3 more
doaj +1 more source
Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation
Workshop on Representation Learning for NLP, 2020 In this paper we present a comparison between the linguistic knowledge encoded in the internal representations of a contextual Language Model (BERT) and a contextual-independent one (Word2vec).
Alessio Miaschi, F. Dell’Orletta
semanticscholar +1 more source
Active Hydrogen for Electrochemical Ammonia Synthesis
Advanced Functional Materials, EarlyView.This review provides a comprehensive overview of the active hydrogen (H*) for electrochemical ammonia synthesis with particular attention given to the regulation of H* generation and consumption to suppress the competition of hydrogen evolution reaction and enhance the yield, selectivity, and Faradaic efficiency of ammonia.
Guoqiang Gan, Guo Hong, Wenjun Zhang
wiley +1 more source
Predicting High-Level Human Judgment Across Diverse Behavioral Domains
Collabra: Psychology, 2019 Recent advances in machine learning, combined with the increased availability of large natural language datasets, have made it possible to uncover semantic representations that characterize what people know about and associate with a wide range of ...
Russell Richie +2 more
doaj +1 more source
Human-in-the-Loop Refinement of Word Embeddings [PDF]
arXiv, 2021 Word embeddings are a fixed, distributional representation of the context of words in a corpus learned from word co-occurrences. Despite their proven utility in machine learning tasks, word embedding models may capture uneven semantic and syntactic representations, and can inadvertently reflect various kinds of bias present within corpora upon which ...
arxiv