Results 91 to 100 of about 19,032 (297)
Applied Sciences, 2021 Obtaining high-quality embeddings of out-of-vocabularies (OOVs) and low-frequency words is a challenge in natural language processing (NLP). To efficiently estimate the embeddings of OOVs and low-frequency words, we propose a new method that uses the ...
Xianwen Liao +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Italian word embeddings and machine translation: application in the biomedical field
, 2023 LAUREA MAGISTRALENel settore biomedico, la digitalizzazione dei processi clinici e dei servizi sanitari ha portato le strutture a produrre e archiviare una grande quantità di dati medici, in gran parte di natura testuale.
BAVARO, MARCELLO
core
Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study
Journal of Medical Internet Research, 2020 BackgroundWord embeddings are dense numeric vectors used to represent language in neural networks. Until recently, there had been no publicly released embeddings trained on clinical data.
Abdalla, Mohamed +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +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.
Rui Antunes 0002, Sérgio Matos
openaire +2 more sources
All Word Embeddings from One Embedding
CoRR, 2020 NeurIPS ...
Sho Takase, Sosuke Kobayashi
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.
Sahar Ghannay +3 more
openaire +1 more source
An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task
IEEE Access, 2023 The application of natural language processing (NLP) in sentiment analysis task by using textual data has wide scale application across various domains in plethora of industries.
Mrigank Shukla, Akhil Kumar
doaj +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source