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Maison de la Modélisation, de la Simulation et des Interactions


INCEpTION: Efficient text annotation using human-in-the-loop technology [Workshop]

Workshop run by Ute Winchenbach (UKP - Ubiquitous Knowledge Processing Lab, INCEpTION Projet) on May 7, 2020


07/05/2020   :   10h00
Center of Modeling, Simulation, and Interactions (MSI) 1361 Route des Lucioles, 06560 Valbonne, France (InPhyNi and Maison de l'IA Building)
 Speaker: Ute Winchenbach (UKP - Ubiquitous Knowledge Processing Lab, INCEpTION Project)
Publication : 07/05/2020
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Speaker: Ute Winchenbach (UKP - Ubiquitous Knowledge Processing Lab, INCEpTION Project)

A wide range of research domains e.g. digital humanities are in need of easy and efficient ways to annotate specialized text corpora, e.g. for text exploration and interpretation or gold standard creation for machine learning algorithms. Creating corpora is not an easy task though: text annotation is a time consuming and expensive process; new annotation projects often require custom annotation schemata and workflows. The general purpose text annotation tool INCEpTION addresses these problems by supporting all phases of corpus creation: document selection, annotation, knowledge management and curation, as well as being easy to integrate into external workflows via remote API. INCEpTION employs machine learning to suggest potential annotations to users to reduce overall annotation time and effort. Many projects that used INCEpTION have shown that it is very extensible and can be easily adapted to the annotation work at hand.

 

Please note that participants are required to bring and use their own laptop.