EEVEE: An Easy Annotation Tool for Natural Language Processing
This addresses the setup hindrance for researchers and practitioners in NLP, but it is incremental as it builds on existing annotation tool concepts.
The authors tackled the problem of cumbersome setup for NLP annotation tools by introducing EEVEE, a browser-based tool that simplifies annotation with no installation required and supports multiple tasks, resulting in a tool that uses tab-separated files for ease of use.
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.