Annotation Process Management Revisited
Dain Kaplan, Ryu Iida, Takenobu Tokunaga · 2010
Proper annotation process management is crucial to the construction of corpora, which are indispensable to the data-driven techniques that have come to the forefront in NLP during the last two decades.This paper first raises a list of 10 needs that any general purpose annotation system should address, such as user & role management, delegation & monitoring of work, diffing annotators' work, versioning of corpora, multilingual support, and so on.A framework to address these needs is then proposed.The explanation of the framework is followed by an introduction of SLATE (Segment and Link-based Annotation Tool Enhanced), the second iteration of a web-based annotation tool, which is being rewritten to implement the proposed framework.