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The ActiveCrowdToolkit: an open-source tool for benchmarking active learning algorithms for crowdsourcing research

The ActiveCrowdToolkit: an open-source tool for benchmarking active learning algorithms for crowdsourcing research
The ActiveCrowdToolkit: an open-source tool for benchmarking active learning algorithms for crowdsourcing research
We present an open-source toolkit that allows the easy comparison of the performance of active learning methods over a series of datasets. The toolkit allows such strategies to be constructed by combining a judgement aggregation model, task selection method and worker selection method. The toolkit also provides a user interface which allows researchers to gain insight into worker performance and task classification at runtime.
Venanzi, Matteo
ba24a77f-31a6-4c05-a647-babf8f660440
Parson, Oliver
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Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Venanzi, Matteo
ba24a77f-31a6-4c05-a647-babf8f660440
Parson, Oliver
9630bcd4-3d91-4b2a-b94a-24bdb84efab6
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Venanzi, Matteo, Parson, Oliver, Rogers, Alex and Jennings, Nicholas R. (2015) The ActiveCrowdToolkit: an open-source tool for benchmarking active learning algorithms for crowdsourcing research. The Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2015), San Diego, United States. 08 - 11 Nov 2015. 10 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

We present an open-source toolkit that allows the easy comparison of the performance of active learning methods over a series of datasets. The toolkit allows such strategies to be constructed by combining a judgement aggregation model, task selection method and worker selection method. The toolkit also provides a user interface which allows researchers to gain insight into worker performance and task classification at runtime.

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More information

Published date: 18 August 2015
Venue - Dates: The Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2015), San Diego, United States, 2015-11-08 - 2015-11-11
Organisations: Agents, Interactions & Complexity
Learn more about Agents, Interactions & Complexity research Learn more about Electronics & Computer Science research Learn more about Electronics & Computer Science research

Identifiers

Local EPrints ID: 380666
URI: https://eprints.soton.ac.uk/id/eprint/380666
PURE UUID: 3b7ff677-fd0a-4d69-ae56-15f489e09171

Catalogue record

Date deposited: 18 Aug 2015 11:01
Last modified: 21 Mar 2019 17:31

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Contributors

Author: Matteo Venanzi
Author: Oliver Parson
Author: Alex Rogers
Author: Nicholas R. Jennings

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