Results 31 to 40 of about 7,760 (144)

UStore: A Distributed Storage With Rich Semantics

CoRR, 2017
Today's storage systems expose abstractions which are either too low-level (e.g., key-value store, raw-block store) that they require developers to re-invent the wheels, or too high-level (e.g., relational databases, Git) that they lack generality to support many classes of applications. In this work, we propose and implement a general distributed data
Tien Tuan Anh Dinh, Ji Wang 0006, Sheng Wang 0011, Gang Chen 0001, Wei-Ngan Chin, Qian Lin 0002, Beng Chin Ooi, Pingcheng Ruan, Kian-Lee Tan, Zhongle Xie, Hao Zhang 0029, Meihui Zhang 0001   +11 more
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Richer Concepts are Better Remembered: Number of Features Effects in Free Recall

Frontiers in Human Neuroscience, 2012
In four experiments, we tested the expectation that concepts associated with more semantic features would be better remembered than concepts associated with fewer semantic features.
Ian Scott Hargreaves, Penny M Pexman, Jeremy S Johnson, Lenka eZdrazilova   +3 more
doaj   +1 more source

Semantic Segmentation of Polarimetric SAR Image Based on Dual-Channel Multi-Size Fully Connected Convolutional Conditional Random Field

Remote Sensing, 2022
The traditional fully connected convolutional conditional random field has a proven robust performance in post-processing semantic segmentation of SAR images.
Yingying Kong, Qiupeng Li
doaj   +1 more source

VisText: A Benchmark for Semantically Rich Chart Captioning

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Captions that describe or explain charts help improve recall and comprehension of the depicted data and provide a more accessible medium for people with visual disabilities. However, current approaches for automatically generating such captions struggle to articulate the perceptual or cognitive features that are the hallmark of charts (e.g., complex ...
Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan   +2 more
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Semantically rich human-aided machine annotation [PDF]

Proceedings of the Workshop on Frontiers in Corpus Annotations II Pie in the Sky - CorpusAnno '05, 2005
This paper describes a semantically rich, human-aided machine annotation system created within the Ontological Semantics (OntoSem) environment using the DEKADE toolset. In contrast to mainstream annotation efforts, this method of annotation provides more information at a lower cost and, for the most part, shifts the maintenance of consistency to the ...
Marjorie McShane, Sergei Nirenburg, Stephen Beale, Thomas P. O'Hara   +3 more
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The Neural Correlates of the Body-Object Interaction Effect in Semantic Processing

Frontiers in Human Neuroscience, 2012
The semantic richness dimension referred to as body-object interaction (BOI) measures perceptions of the ease with which people can physically interact with words’ referents.
Ian Scott Hargreaves, Gemma eLeonard, Penny M Pexman, Daniel ePittman, Paul D Siakaluk, Bradley eGoodyear   +5 more
doaj   +1 more source

ODMedit: uniform semantic annotation for data integration in medicine based on a public metadata repository

BMC Medical Research Methodology, 2016
Background The volume and complexity of patient data – especially in personalised medicine – is steadily increasing, both regarding clinical data and genomic profiles: Typically more than 1,000 items (e.g., laboratory values, vital signs, diagnostic ...
Martin Dugas, Alexandra Meidt, Philipp Neuhaus, Michael Storck, Julian Varghese   +4 more
doaj   +1 more source

The effects of endogenous semantic variables during productive lexical retrieval: A Behavioral-Neural Dual Swinging Model (DSM)

NeuroImage
Conceptual preparation is the very initial step in language production. Endogenous semantic variables, reflecting the inherent semantic properties of concepts, could influence the productive lexical retrieval by modulating both conceptual activation and ...
Keyi Kang, Sifan Zhang, Yumeng Xiao, Hanxiang Yu, Haoyun Zhang   +4 more
doaj   +1 more source

Machine Comprehension using Rich Semantic Representations [PDF]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016
Machine comprehension tests the system’s ability to understand a piece of text through a reading comprehension task. For this task, we propose an approach using the Abstract Meaning Representation (AMR) formalism. We construct meaning representation graphs for the given text and for each question-answer pair by merging the AMRs of comprising sentences ...
Mrinmaya Sachan, Eric P. Xing
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Caractéristiques sémantiques du genre de discours de la caricature : analyse d’un corpus international de six caricaturistes

Multilinguales, 2023
The study focuses on the semantic characteristics of caricatures. The analysis of an international corpus, including works by six caricaturists, shows that these authors use different language processes (verbal and iconic).
Youcef Lakab, M’hand Ammouden
doaj   +1 more source