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What is Annotation Process

Chapter 28
Handbook of Research on Socio-Technical Design and Social Networking Systems
A corpus of examples, whether these are language or interaction examples (distinguishing between different kinds of interaction) can be annotated with human knowledge that makes it possible to distinguish characteristics of these examples. Machine learning algorithms can be guided and supported by such annotations and machine learning results provide feedback about our intuition and heuristics concerning which features of the examples help to distinguish them into classes. To support human annotators, tools are developed that visualize and otherwise emphasize characteristics of the examples in the corpus.
Published in Chapter:
Creating Social Technologies to Assist and Understand Social Interactions
Anton Nijholt (University of Twente, The Netherlands), Dirk Heylen (University of Twente, The Netherlands), and Rutger Rienks (University of Twente, The Netherlands)
Copyright: © 2009 |Pages: 13
DOI: 10.4018/978-1-60566-264-0.ch028
Abstract
In this chapter the authors discuss a particular approach to the creation of socio-technical systems for the meeting domain. Besides presenting a methodology this chapter will present applications that have been constructed on the basis of the method and applications that can be envisioned. Throughout the chapter, illustrations are drawn from research on the development of meeting support tools. The chapter concludes with a section on implications and considerations for the on-going development of social technical systems in general and for the meeting domain in particular.
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