Results 81 to 90 of about 1,855,093 (223)
A Metadata-Assisted Cascading Ensemble Classification Framework for Automatic Annotation of Open IoT ...
M De Giosa (20665349) +6 more
core
Note annotation on Corpus level 2
We continue our experiments with the corpus 2. In the previous post, we showed that a well-defined set of three different feature types improves note classification accuracy.
Young-Min Kim
core +1 more source
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
HighlightsThe challenge on automatic tool annotation for cataract surgery is presented.Tool usage was manually annotated for 21 tools in 50 cataract surgery videos.Various deep learning solutions were proposed by 14 teams.Lessons learnt from the ...
Hassan Al Hajj +18 more
semanticscholar +1 more source
Per Channel Automatic Annotation of Sign Language Motion Capture Data [PDF]
International audienceManual annotation is an expensive and time consuming task partly due to the high number of linguistic channels that usually compose sign language data.
Naert, Lucie +3 more
core
Automatic Annotation for all Semantic Layers in FrameNet
We describe a system for automatic annotation of English text in the FrameNet standard. In addition to the conventional annotation of frame elements and their semantic roles, we annotate additional semantic information such as support verbs and ...
Nugues, Pierre +3 more
core +1 more source
Ce carnet a pour but d'accompagner le projet de recherche "Robust and Language Independent Machine Learning Approaches for Automatic Annotation of Bibliographical References in DH Books, Articles and Blogs", dans le cadre du programme Google Grant for ...
Élodie Faath
core +1 more source
Measuring parental care behaviour in the wild is central to the study of animal ecology and evolution, but it is often labour‐ and time‐intensive. Efficient open‐source tools have recently emerged that allow animal behaviour to be quantified from videos ...
Alex Hoi Hang Chan +4 more
doaj +1 more source
Ontology-Based Automatic Annotation of Learning Content
This paper presents an ontology-based approach to automatic annotation of learning objects’ (LOs) content units that we tested in TANGRAM, an integrated learning environment for the domain of Intelligent Information Systems.
Jelena Jovanoviæ, Dragan Gaševiæ
core
Semi-Automatic Dataset Annotation Applied to Automatic Violent Message Detection
Annotated corpora are indispensable tools to train computational models in Artificial Intelligence and Natural Language Processing. However, manual annotation is a costly, arduous, and time-consuming task, especially when the annotation is semantically ...
Beatriz Botella-Gil +4 more
doaj +1 more source
Efficient musculoskeletal annotation using free-form deformation
Traditionally, constructing training datasets for automatic muscle segmentation from medical images involved skilled operators, leading to high labor costs and limited scalability.
Norio Fukuda +3 more
doaj +1 more source

