Results 191 to 200 of about 814,629 (342)

KurdABSA: Kurdish aspect-based sentiment analysis dataset curation using few-shot learning. [PDF]

Data Brief
San Ahmed RAM, Saeed SA.
europepmc   +1 more source

Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction [PDF]

Dongming Sheng, Kexin Han, Hao Li, Yan Zhang, Yucheng Huang, Jun Lang, Wenqiang Liu   +6 more
openalex   +1 more source

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

Proposal of Classification for Management of Molar Extraction Sockets and Decision Making for Immediate Implant Placement: A Technical Report. [PDF]

Cureus
Ekhlasmandkermani M, Goudarzimoghaddam F, Ilkerli E.   +2 more
europepmc   +1 more source

Production of Metallic Foam Precursors Using Current‐Activated Pressure‐Assisted Densification

Advanced Engineering Materials, EarlyView.
A powder compaction metallurgical method, known as current‐activated pressure‐assisted densification, is applied to enhance the compaction of metal foam precursors. This method improves precursor quality by achieving higher density, lower electrical resistivity, and more uniform pore nucleation in the resulting foams, reducing energy consumption and ...
Tillmann Robert Neu, Paul Hans Kamm, Francisco García‐Moreno   +2 more
wiley   +1 more source

MSDC: Aspect-level sentiment analysis model based on multi-scale dual-channel feature fusion. [PDF]

PLoS One
Lou X, Liu G, Xu Y.
europepmc   +1 more source

Optimizing Aspect Term Extraction and Sentiment Classification through Attention Mechanism and Sparse Attention Techniques

openalex   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Massive Tricuspid Regurgitation After Implantable Cardioverter Defibrillator Lead Extraction: A Late Complication From Ghost Material. [PDF]

JACC Case Rep
Atighetchi S, Praz F, Noti F, Reineke D, Chong-Nguyen C.   +4 more
europepmc   +1 more source

Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews

, 2014
Roman Klinger
openalex   +2 more sources