Results 61 to 70 of about 131,669 (281)

What Do Large Language Models Know About Materials?

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Conceptualization of the Sensory Experience: A Frame-Based Approach [PDF]

open access: yesPsychology in Russia: State of Art, 2019
Background. Te search for reliable means of establishing relations between sensory qualia and their conceptualization in language has given rise to several approaches, both philosophical and psychophysical.
Georgiy B. Blinnikov
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

ELECTRONIC CORPORA IN TRANSLATION BOOTCAT-BOOTSTRAPPING CORPORA AND TERMS FROM THE WEB [PDF]

open access: yes
In the new world of technology, the translation profession, like other disciplines, cannot be deprived of modern tools such as electronic corpora. Recently, large monolingual, comparable and parallel corpora have played a crucial role in solving various ...
Elena Museanu, Mariana Coanca
core  

Measuring Syntactic Priming in Dialog Corpora [PDF]

open access: yes, 2010
Buch A, Pietsch C. Measuring Syntactic Priming in Dialog Corpora. In: Proceedings of the Conference on Linguistic Evidence. Empirical, theoretical and computational perspectives.
Pietsch, Christian ; https://orcid.org/   +1 more
core  

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

A TUMOR OF THE CORPORA QUADRIGEMINA [PDF]

open access: yesThe Journal of Nervous and Mental Disease, 1912
n ...
openaire   +2 more sources

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter   +10 more
wiley   +1 more source

Learning Concept Hierarchies from Text Corpora using Formal Concept Anaylsis [PDF]

open access: yes, 2005
Cimiano P, Hotho A, Staab S. Learning Concept Hierarchies from Text Corpora using Formal Concept Anaylsis. Journal of Artificial Intelligence Research (JAIR).
Staab, Steffen   +2 more
core  

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