Results 41 to 50 of about 1,716,023 (337)

Annotation-efficient deep learning for automatic medical image segmentation [PDF]

open access: yesNature Communications, 2020
Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to ...
Shanshan Wang   +14 more
semanticscholar   +1 more source

Expériences sur l’analyse morphosyntaxique des corpus oraux avec l’annotateur multi-niveaux DisMo

open access: yesCorela, 2017
Annotating spoken corpora poses unique challenges stemming from the particular characteristics of spontaneous speech and its transcription. Automatic annotation tools need to adapt to these challenges. At the same time, it is desirable to define a “least
George Christodoulides, Giulia Barreca
doaj   +1 more source

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2017
Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated.
Christopher Bryant   +2 more
semanticscholar   +1 more source

Automatic Image Annotation Based on Co-Training

open access: yesJournal of Algorithms & Computational Technology, 2014
Automatic image annotation is a critical and challenging problem in pattern recognition and image understanding areas. There are some problems in existing automatic image annotation areas.
Xiao Ke, Guolong Chen
doaj   +1 more source

Principes et outils pour l’annotation des corpus

open access: yesTIPA. Travaux interdisciplinaires sur la parole et le langage, 2023
Corpus linguistics (i.e. research on language based on written or oral linguistic material that has been collected and saved) has been considerably developed over the last decades. This development has occurred using more numerous and larger corpora. The
Mary Amoyal   +8 more
doaj   +1 more source

An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset [PDF]

open access: yesScientific Data, 2020
It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders.
K. Payette   +19 more
semanticscholar   +1 more source

The Ensembl Automatic Gene Annotation System [PDF]

open access: yesGenome Research, 2004
As more genomes are sequenced, there is an increasing need for automated first-pass annotation which allows timely access to important genomic information. The Ensembl gene-building system enables fast automated annotation of eukaryotic genomes. It annotates genes based on evidence derived from known protein, cDNA, and EST sequences.
Val, Curwen   +6 more
openaire   +2 more sources

A Distributed Automatic Video Annotation Platform

open access: yesApplied Sciences, 2020
In the era of digital devices and the Internet, thousands of videos are taken and share through the Internet. Similarly, CCTV cameras in the digital city produce a large amount of video data that carry essential information. To handle the increased video
Md Anwarul Islam   +2 more
doaj   +1 more source

Automatic Annotation of Instructional Videos

open access: yesInternational journal of recent technology and engineering, 2020
Multimedia has a significant role in communicating the information and a large amount of multimedia repositories make the browsing, retrieval and delivery of video contents.
D. Bhavitha, A. Kalaivani
semanticscholar   +1 more source

Evaluating automatic annotation: Automatically detecting and annotating syntactic alternations [PDF]

open access: yesLanguage Resources and Evaluation, 2012
Contains fulltext : 94405.pdf (Publisher’s version ) (Open Access)
Theijssen, D.L.   +3 more
openaire   +1 more source

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