Earlier this week the UK Conservative party promised to offer a £1m cash prize to a person or team that creates an online platform that can be used to solve “common problems”. The prize – which the party says will
pybossa - PyBossa is an open source platform for crowd-sourcing online (volunteer) assistance to perform tasks that require human cognition, knowledge or intelligence (e.g. image classification, transcription, information location etc).
Bossa is an open-source software framework for distributed thinking - the use of volunteers on the Internet to perform tasks that use human cognition, knowledge, or intelligence.
PyBossa is a free, open-source, platform for creating and running crowd-sourcing applications that utilise online assistance in performing tasks that require human cognition, knowledge or intelligence such as image classification, transcription, geocoding and more!
The MIT Center for Collective Intelligence brings together faculty from across MIT to conduct research on how new communications technologies are changing they way people work together. Our basic research question is: How can people and computers be connected so that—collectively—they act more intelligently than any individuals, groups, or computers have ever done before?'
The aim of this project is to produce age-appropriate non-fiction books for children from birth to age 12. These books are richly illustrated with photographs, diagrams, sketches, and original drawings. Wikijunior books are produced by a worldwide community of writers, teachers, students, and young people all working together. The books present factual information that is verifiable. You are invited to join in and write, edit, and rewrite each module and book to improve its content. Our books are distributed free of charge under the terms of the Creative Commons Attribution-ShareAlike License.
R. Snow, B. O'Connor, D. Jurafsky, and A. Ng. Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, page 254--263. Honolulu, Hawaii, Association for Computational Linguistics, (October 2008)
V. Sinha, S. Rao, and V. Balasubramanian. (2018)cite arxiv:1803.02781Comment: 8 pages, 5 tables, 1 figure, KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) 2018.
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
T. Finin, W. Murnane, A. Karandikar, N. Keller, J. Martineau, and M. Dredze. Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, page 80--88. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
A. Brew, D. Greene, and P. Cunningham. Proceedings of the 19th European Conference on Artificial Intelligence, volume 215 of Frontiers in Artificial Intelligence and Applications, page 145--150. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2010)
T. Finin, W. Murnane, A. Karandikar, N. Keller, J. Martineau, and M. Dredze. Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, page 80--88. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
A. Marcus, E. Wu, S. Madden, and R. Miller. Proceedings of the 5th Biennial Conference on Innovative Data Systems Research, page 211--214. CIDR, (January 2011)
A. Kittur, B. Smus, S. Khamkar, and R. Kraut. Proceedings of the 24th annual ACM symposium on User interface software and technology, page 43--52. New York, NY, USA, ACM, (2011)