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date: 14 December 2017

Abstract and Keywords

In computational linguistics, humans or algorithms identify instances of some phenomenon in text and provide an interpretation of each instance. Usually the interpretations are labels chosen from a small set that reflect an underlying theory about the phenomenon. Setting up an annotation task requires expertise with several facets of the problem. First, characterising the phenomenon in terms of easily understandable labels and developing instructions for the annotators are important and often quite difficult steps. Next choosing the texts to be annotated, selecting the annotators, and training them are not fully resolved issues. A number of possibilities exist for evaluating their agreement. Existing tools, services, standards, and regular workshops dedicated to annotation are discussed.

Keywords: annotation, tagging, coding, annotators, Cohen’s kappa, inter-annotator agreement

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