Results 101 to 110 of about 1,159,266 (295)
Advanced Functional Materials, EarlyView.Ferroelectric nanoclusters create local internal fields in a normally non‐switchable polar film because of polarization mismatch at their interfaces. That field opposes polarization in the regions with larger polarization and reinforces polarization in the regions with smaller polarization.
Anna N. Morozovska +5 more
wiley +1 more source
Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique [PDF]
, 2023 Word embedding has become ubiquitous and is widely used in various natural language processing (NLP) tasks, such as web retrieval, web semantic analysis, and machine translation, and so on. Unfortunately, training the word embedding in a relatively large
Chen, Huacan +6 more
core +1 more source
New method of text representation model based on neural network
Tongxin xuebao, 2017 Method of text representation model was proposed to extract word-embedding from text feature.Firstly,the word-embedding of the dual word-embedding list based on dictionary index and the corresponding part of speech index was created.Then,feature vectors ...
Shui-fei ZENG +3 more
doaj +2 more sources
Teaching AI when to care about gender
Code4Lib Journal, 2022 Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) concerned with solving language tasks by modeling large amounts of textual data.
James Powell, Kari Sentz, Elizabeth Moyer, Martin Klein
doaj
Refining electronic medical records representation in manifold subspace
BMC Bioinformatics, 2022 Background Electronic medical records (EMR) contain detailed information about patient health. Developing an effective representation model is of great significance for the downstream applications of EMR.
Bolin Wang +5 more
doaj +1 more source
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016 Distilling knowledge from a well-trained cumbersome network to a small one has recently become a new research topic, as lightweight neural networks with high performance are particularly in need in various resource-restricted systems. This paper addresses the problem of distilling word embeddings for NLP tasks.
Lili Mou +5 more
openaire +2 more sources
Biodegradable and Biocompatible Functional Polymers for Biomedical Applications
Advanced Functional Materials, EarlyView.Biodegradable and biocompatible functional polymers integrate electrical, mechanical, and stimuli‐responsive functionalities while enabling programmed degradation under physiological conditions. This review introduces recent advances in conductive, shape‐memory, self‐healing, photocurable, and adhesive polymer systems, emphasizing material design ...
Won Bae Han +5 more
wiley +1 more source
An Edible Chitosan‐Based Acoustic Sensor for Sound‐Responsive Actuation in Edible Robots
Advanced Functional Materials, EarlyView.This study introduces an edible acoustic sensor for robotic food and edible robotics. Built from a chitosan piezoelectric film between gold electrodes, the sensor enables acoustic communication through ON/OFF keying. Integrated into an edible robot with pneumatically actuated arms and neck, it responds to high‐frequency tones.
Valerio Francesco Annese +8 more
wiley +1 more source
TransDrift: Modeling Word-Embedding Drift using Transformer
, 2022 In modern NLP applications, word embeddings are a crucial backbone that can be readily shared across a number of tasks. However as the text distributions change and word semantics evolve over time, the downstream applications using the embeddings can ...
Kumar, Nishant +3 more
core
word representation or word embedding in Persian text
CoRR, 2017 Text processing is one of the sub-branches of natural language processing. Recently, the use of machine learning and neural networks methods has been given greater consideration. For this reason, the representation of words has become very important. This article is about word representation or converting words into vectors in Persian text.
Siamak Sarmady, Erfan Rahmani
openaire +3 more sources