Results 121 to 130 of about 787,502 (308)

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey [PDF]

arXiv, 2019
Analyzing short texts infers discriminative and coherent latent topics that is a critical and fundamental task since many real-world applications require semantic understanding of short texts. Traditional long text topic modeling algorithms (e.g., PLSA and LDA) based on word co-occurrences cannot solve this problem very well since only very limited ...
arxiv  

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

Advanced Engineering Materials, EarlyView.
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Philipp v. Hartrott, Marian Bruns, Jörg Schaarschmidt, Kristian Beilke, Marcel Mutz, Vincent Nebel, Veit Königer, Lisa Beran, Tobias Kraus, Akhilesh Vyas, Lars Vogt, Moritz Blum, Basil Ell, Ya‐Fan Chen, Tina Waurischk, Akhil Thomas, Ali Riza Durmaz, Sahar Ben Hassine, Carina Fresemann, Gordian Dziwis, Hossein Beygi Nasrabadi, Thomas Hanke, Melissa Telong, Stephan Pirskawetz, Mohamed Kamal, Thomas Bjarsch, Ursula Pähler, Peter Hofmann, Mena Leemhuis, Özgür L. Özçep, Lars‐Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch   +44 more
wiley   +1 more source

Short text topic modelling using local and global word-context semantic correlation. [PDF]

Multimed Tools Appl, 2023
Kinariwala S, Deshmukh S.
europepmc   +1 more source

Short text authorship attribution via sequence kernels, Markov chains and author unmasking [PDF]

, 2006
Conrad Sanderson, Simon Guenter
openalex   +1 more source

Development and Validation of a One‐Dimensional Finite Difference Simulation Scheme for Polymer Laser Powder Bed Fusion with Application to the Effect of the Inter Layer Time

Advanced Engineering Materials, EarlyView.
The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch, Bastien Dietemann, Moritz Grünewald, Christian Schlör, Johannes Rudloff   +4 more
wiley   +1 more source

Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis. [PDF]

Artif Intell Rev, 2023
Murshed BAH, Mallappa S, Abawajy J, Saif MAN, Al-Ariki HDE, Abdulwahab HM.   +5 more
europepmc   +1 more source

Text Length Adaptation in Sentiment Classification [PDF]

arXiv, 2019
Can a text classifier generalize well for datasets where the text length is different? For example, when short reviews are sentiment-labeled, can these transfer to predict the sentiment of long reviews (i.e., short to long transfer), or vice versa? While unsupervised transfer learning has been well-studied for cross domain/lingual transfer tasks, Cross
arxiv  

Short Article: The Impact of Letter Detection on Eye Movement Patterns during Reading: Reconsidering Lexical Analysis in Connected Text as a Function of Task [PDF]

, 2006
Seth N. Greenberg, Albrecht W. Inhoff, Ulrich Weger   +2 more
openalex   +1 more source

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

Medical short text classification via Soft Prompt-tuning

Frontiers in Medicine
In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research.
Xiao Xiao, Han Wang, Feng Jiang, Tingyue Qi, Wei Wang   +4 more
doaj   +1 more source