Brat

Link: http://brat.nlplab.org/introduction.html

Intro: brat is a web-based tool for text annotation; that is, for adding notes to existing text documents. brat is designed in particular for structured annotation, where the notes are not free-form text but have a fixed form that can be automatically processed and interpreted by a computer.

Crowdsourcing for NLP annotations

My new journal article: http://www.springerlink.com/content/n5q5n08853t06131/

Abstract

Crowd-sourcing has emerged as a new method for obtaining annotations for training models for machine learning. While many variants of this process exist, they largely differ in their methods of motivating subjects to contribute and the scale of their applications. To date, there has yet to be a study that helps the practitioner to decide what form an annotation application should take to best reach its objectives within the constraints of a project. To fill this gap, we provide a faceted analysis of crowdsourcing from a practitioner’s perspective, and show how our facets apply to existing published crowdsourced annotation applications. We then summarize how the major crowdsourcing genres fill different parts of this multi-dimensional space, which leads to our recommendations on the potential opportunities crowdsourcing offers to future annotation efforts.