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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

Approximate Order Dependency Discovery

2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021
Lexicographical order dependencies (ODs) specify orders between list of attributes, and are proven useful in optimizing SQL queries with order by clauses. To find hidden ODs from dirty data in practice, in this paper we make a first effort to study the approximate OD discovery problem, aiming at automatically discovering ODs that hold on the data with ...
Yifeng Jin   +3 more
openaire   +2 more sources

A note on the “order of approximation”

International Journal of Solids and Structures, 1985
In this very short note, a procedure is given for finding the nodal order of error for some finite element models, and one proves the superconvergence of one-dimensional problems of Pin Tong kind.
Taylor, R. L., Zienkiewicz, O. C.
openaire   +2 more sources

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