Note: This online service is not restricted to US.
Showing posts with label crowdsourcing. Show all posts
Showing posts with label crowdsourcing. Show all posts
Tuesday, 27 August 2013
Alternative to Amazon Mechanical Turk
Link: http://crowdflower.com/
Labels:
amazon mechanical turk,
AMT,
crowdsourcing,
data annotation,
online
Monday, 23 July 2012
OpenStreetMap
Link: http://www.openstreetmap.org/
Intro: OpenStreetMap is a free worldwide map, created by people like you.
Data: http://planet.openstreetmap.org/
Intro: OpenStreetMap is a free worldwide map, created by people like you.
Data: http://planet.openstreetmap.org/
Labels:
crowdsourcing,
link,
NLP,
research,
social networks,
web 2.0,
world map
Monday, 19 March 2012
Crowdsourcing for NLP annotations
My new journal article: http://www.springerlink.com/content/n5q5n08853t06131/
Abstract
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.
Subscribe to:
Posts (Atom)