0000000001237470

AUTHOR

Ashwin Geet D'sa

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HUMAN: Hierarchical Universal Modular ANnotator

2020

A lot of real-world phenomena are complex and cannot be captured by single task annotations. This causes a need for subsequent annotations, with interdependent questions and answers describing the nature of the subject at hand. Even in the case a phenomenon is easily captured by a single task, the high specialisation of most annotation tools can result in having to switch to another tool if the task only slightly changes. We introduce HUMAN, a novel web-based annotation tool that addresses the above problems by a) covering a variety of annotation tasks on both textual and image data, and b) the usage of an internal deterministic state machine, allowing the researcher to chain different anno…

FOS: Computer and information sciences0303 health sciencesComputer Science - Computation and Languagebusiness.industryActive learning (machine learning)Computer science02 engineering and technology[INFO] Computer Science [cs]Modular designVariety (cybernetics)Task (project management)03 medical and health sciencesAnnotationHuman–computer interaction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[INFO]Computer Science [cs]businessComputation and Language (cs.CL)030304 developmental biologyGraphical user interface
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