Results 51 to 60 of about 303,332 (290)
Semantic maps as metrics on meanings
Linguistic Discovery, 2010 By using the world?s linguistic diversity, the study of meaning can be transformed from an introspective inquiry into a subject of empirical investigation.
Michael Cysouw
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Towards Analyzing Semantic Robustness of Deep Neural Networks
, 2019 Despite the impressive performance of Deep Neural Networks (DNNs) on various vision tasks, they still exhibit erroneous high sensitivity toward semantic primitives (e.g. object pose). We propose a theoretically grounded analysis for DNN robustness in the
A Fawzi +7 more
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, 2019 A semantic map is a method for visually representing cross-linguistic regularity or universality in semantic structure. This method has proved attractive to typologists because it provides a convenient graphical display of the interrelationships between meanings or functions across languages, while (at the same time) differentiating what is universal ...
openaire +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 +2 more
wiley +1 more source
Analyzing Semantic Maps: A Multifactorial Approach
Linguistic Discovery, 2010 In this paper I argue that semantic similarity is not the only factor which motivates polysemy patterns cross-linguistically; I also show that these other factors (markedness, distinguishability, etc) may give rise to polysemies which are problematic for
Andrej L. Malchukov
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Automatic Understanding and Mapping of Regions in Cities Using Google Street View Images
Applied Sciences, 2022 The use of semantic representations to achieve place understanding has been widely studied using indoor information. This kind of data can then be used for navigation, localization, and place identification using mobile devices.
José Carlos Rangel +2 more
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, 2019 Cross-view image translation is challenging because it involves images with drastically different views and severe deformation. In this paper, we propose a novel approach named Multi-Channel Attention SelectionGAN (SelectionGAN) that makes it possible to
Corso, Jason J. +5 more
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Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Knowledge modelling for integrating semantic web services in e-government applications [PDF]
, 2005 Service integration and domain interoperability are the basic requirements in the development of current service-oriented e-Government applications. Semantic Web and, in particular, Semantic Web Service (SWS) technology aim to address these issues ...
Cabral, Liliana +2 more
core
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
, 2019 The main obstacle to weakly supervised semantic image segmentation is the difficulty of obtaining pixel-level information from coarse image-level annotations.
Kim, Eunji +4 more
core +1 more source