Results 111 to 120 of about 4,511,898 (299)
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
Linguistic Meaning Versus Pragmatic Meaning
A critical gap between linguistic specifications and context-relevantinterpretation has existed ever since linguists sought to investigate meaning.As a matter of fact, English language has gained an unprecedentedmomentum over the last decades, and the ultimate aim of English languageteaching has revolved around fostering the students’ ability to ...
openaire +2 more sources
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
In search of linguistic meaning
The aim of the article is to define the relationship between the meaning included in an utterance and its formal shape. The author based his discussion on the study of natural communication. The notion of meaning is in the article associated with that which in communicational grammar is referred to as cognitive configuration.
openaire +6 more sources
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
Focus types and argument asymmetries: a cross-linguistic study in language production [PDF]
Skopeteas S, Fanselow G. Focus types and argument asymmetries: a cross-linguistic study in language production. In: Breul C, Göbbel E, eds. Contrastive information structure. Linguistik Aktuell/Linguistics Today. Amsterdam, Philadelphia: Benjamins; 2010:
Breul, Carsten +3 more
core
Vector‐Based SparseGPT: A Vector‐Based Sparsity Method for Large Language Model
Conventional pruning such as SparseGPT produces harmful accumulated errors through step‐by‐step weight editing. V‐SparseGPT prunes and updates target weights simultaneously to curb these errors for N:M structured sparsity. Block‐sparsity and layer‐parallel sparsity greatly boost pruning efficiency.
Junfei He +3 more
wiley +1 more source
Ellipses and Fragments: linguistic means of decolonization in Joyce’s Dubliners
This paper traces Joyce’s linguistic techniques of void and gaps as he went about when writing Dubliners, and reveals what is implied in some of the stories and most importantly shows how through ellipses and fragments, his characters’ attempt to ...
Souad Khalaf, Nadine Riachi Haddad
doaj
Clarke Transform: A Lingua Franca for Continuum Robotics
Using the Clarke transform, both robot‐dependent mappings are known exactly for kinematic models, leading to a complete chain of transformations between spaces with associated abstraction. This eases the derivation. Therefore, proposing the Clarke transform as a lingua franca and utilizing a practical fact sheet can pave the way for more systematic ...
Reinhard M. Grassmann, Sami Haddadin
wiley +1 more source

