  Annotation tools are the starting point for creating Natural Language
Processing (NLP) datasets. There is a wide variety of tools available; setting
up these tools is however a hindrance. We propose EEVEE, an annotation tool
focused on simplicity, efficiency, and ease of use. It can run directly in the
browser (no setup required) and uses tab-separated files (as opposed to
character offsets or task-specific formats) for annotation. It allows for
annotation of multiple tasks on a single dataset and supports four task-types:
sequence labeling, span labeling, text classification and seq2seq.
