Results 61 to 70 of about 4,563 (261)

Multi-grained Attention Network for Aspect-Level Sentiment Classification [PDF]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
Proponemos un modelo novedoso de red de atención multigrano (MGAN) para la clasificación de sentimientos a nivel de aspecto. Los enfoques existentes adoptan principalmente un mecanismo de atención de grano grueso, que puede traer pérdida de información si el aspecto tiene varias palabras o un contexto más amplio.
Feifan Fan, Yansong Feng, Dongyan Zhao
openaire   +2 more sources

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Interactive Multi-Head Attention Networks for Aspect-Level Sentiment Classification

IEEE Access, 2019
Aspect-level sentiment classification (ASC) has received much attention these years. With the successful application of attention networks in many fields, attention-based ASC has aroused great interest.
Qiuyue Zhang, Ran Lu, Qicai Wang, Zhenfang Zhu, Peiyu Liu   +4 more
doaj   +1 more source

Hierarchical Gated Deep Memory Network With Position-Aware for Aspect-Based Sentiment Analysis

IEEE Access, 2020
Aspect-based sentiment analysis aims at identifying the sentiment polarity of specific aspect in the sentence. Previous work has realized the importance of the information interaction between aspect term and context.
Zebing Jia, Xiuxiu Bai, Shanmin Pang
doaj   +1 more source

A Novel Approach to Estimate the Transition Temperature via Dynamic Nanoindentation

Advanced Engineering Materials, EarlyView.
A new dynamic nanoindentation‐based method was developed that uses the stiffness ratio as an indicator of the elastic–plastic deformation contributions at different temperatures. The approach successfully identified transition temperatures in ferritic steel and distinguished them from continuously ductile austenitic steel.
Stefan Zeiler, Nikolaus Kostwein, Ronald Schnitzer, Christian Mitterer, Verena Maier‐Kiener   +4 more
wiley   +1 more source

Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification [PDF]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
We introduce a novel parameterized convolutional neural network for aspect level sentiment classification. Using parameterized filters and parameterized gates, we incorporate aspect information into convolutional neural networks (CNN). Experiments demonstrate that our parameterized filters and parameterized gates effectively capture the aspect-specific
Binxuan Huang, Kathleen M. Carley
openaire   +2 more sources

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

Chemical Strategies for Multistimuli Responsive Dynamic Covalent Materials in Regenerative Medicine

Advanced Healthcare Materials, EarlyView.
Multistimuli responsive dynamic covalent materials integrate reversible chemistry with the complex chemical, mechanical, and biochemical cues of regenerative environments. This review highlights chemical strategies based on orthogonal dynamic bonds, multicomponent networks, and hierarchical architectures to regulate mechanics, degradation, and ...
Saurabh Joshi, Matthew B. Baker, Dominik Schauenburg   +2 more
wiley   +1 more source

Spatial Control of Light‐Responsive Proteins and Optogenetics Within Hydrogels via Volumetric Bioprinting

Advanced Materials, EarlyView.
Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi, Pere Català, Gabriel Größbacher, Paulina Nuñez Bernal, Olaf Nijssen, Sammy Florczak, Wilco Nijenhuis, Nuria Crusellas‐Villorbina, Bram Nijhoff, Paul Delrot, Jos Malda, Andreas Hierholzer, Martin Fussenegger, Lukas C. Kapitein, Riccardo Levato   +14 more
wiley   +1 more source

Aspect-Based Sentiment Analysis Based on Triangular Feature Fusion and Perceptual Attention [PDF]

Jisuanji gongcheng
Aspect-Based Sentiment Analysis (ABSA) aims to determine the sentiment polarity of specific aspect terms in sentences with complex syntactic structures.
PENG Lixiangsong, ZHANG Zhuhong
doaj   +1 more source