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and Poesio, Massimo
(2022)
LingoTowns: A Virtual World For Natural Language Annotation and Language Learning.
In: CHI PLAY '22: Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play, November 2 – 5, 2022, Bremen, Germany.
Fulltext not available.
, Albakour, Dyaa, Esquivel, Jose Alberto, Brill, James, Martinez, Miguel and Chamberlain, Jon
(2021)
Signal Briefings: Monitoring News Beyond the Brand.
In: ECIR 2021, 28.03. - 01.04.2021, virtuell.
Fulltext not available.
, Chamberlain, Jon and Kruschwitz, Udo
(2020)
Towards a Framework for Harm Prevention in Web Search.
In: BIRDS 2020 Workshop @ SIGIR 2020, July, 2020, Xi'an, China.
Fulltext not available.
Chamberlain, Jon, Kruschwitz, Udo
and Poesio, Massimo
(2020)
Speaking Outside the Box: Exploring the Benefits of Unconstrained Input in Crowdsourcing and Citizen Science Platforms.
In: Workshop @ LREC 2020, May, 2020, Marseille, France.
(2020)
Towards Search Strategies for Better Privacy and Information.
In: CHIIR 2020 - Conference on Human Information Interaction and Retrieval, März, 2020, Vancouver BC, Canada.
Fulltext not available.
and Poesio, Massimo
(2019)
Incremental Game Mechanics Applied to Text Annotation.
In: CHI PLAY '19: Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Oct 2019.
Fulltext not available.
and Poesio, Massimo
(2019)
Making Text Annotation Fun with a Clicker Game.
In: FDG '19: The Fourteenth International Conference on the Foundations of Digital Games, August, 2019, San Luis Obispo, California, USA.
Fulltext not available.
and Poesio, Massimo
(2019)
The Design Of A Clicker Game for Text Labelling.
In: 2019 IEEE Conference on Games (CoG), 20-23 Aug. 2019, London, UK.
Fulltext not available.
Madge, Chris, Yu, Juntao, Chamberlain, Jon, Kruschwitz, Udo
, Paun, Silviu and Poesio, Massimo
(2019)
Crowdsourcing and Aggregating Nested Markable Annotations.
In: 57th Annual Meeting of the Association for Computational Linguistics, July, 2019, Florence, Italy.
Poesio, Massimo, Chamberlain, Jon, Paun, Silviu, Yu, Juntao, Uma, Alexandra and Kruschwitz, Udo
(2019)
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation.
In: NAACL 2019 - Conference of the North American Chapter of the Association for Computational Linguistics, June, 2019, Minneapolis, Minnesota.
(2019)
Rethinking `Advanced Search': A New Approach to Complex Query Formulation.
In: ECIR 2019 - European Conference on Information Retrieval, 14-18 April 2019, Cologne, Germany.
Fulltext not available.
(2019)
Exploring Language Style in Chatbots to Increase Perceived Product Value and User Engagement.
In: CHIIR 2019 - Conference on Human Information Interaction and Retrieval, March, 2019, Glasgow, UK.
Fulltext not available.
and Poesio, Massimo
(2018)
Optimising crowdsourcing efficiency: Amplifying human computation with validation.
it - Information Technology 60 (1), pp. 41-49.
Fulltext not available.
and Poesio, Massimo
(2013)
Methods for engaging and evaluating users of human computation systems.
In: Michelucci, P., (ed.)
Handbook of Human Computation.
Springer, New York, NY, pp. 679-694.
ISBN 978-1-4614-8805-7, 978-1-4614-8806-4.
Fulltext not available.
, Robaldo, L. and Ducceschi, L.
(2013)
Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation.
ACM Transactions on Interactive Intelligent Systems (TiiS) 3 (1), pp. 1-44.
Fulltext not available.
, Lafourcade, M. and Poesio, Massimo
(2013)
Using Games to Create Language Resources: Successes and Limitations of the Approach.
In: Gurevych, I. and Kim, J., (eds.)
The People’s Web Meets NLP. Theory and Applications of Natural Language Processing.
Springer, Berlin, pp. 3-44.
ISBN 978-3-642-35084-9, 978-3-642-35085-6.
Fulltext not available.
Chamberlain, Jon, Kruschwitz, Udo
and Poesio, Massimo
(2012)
Motivations for Participation in Socially Networked Collective Intelligence Systems.
In: Collective Intelligence conference, 2012.
(2011)
Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration.
In: Mehler, Alexander, (ed.)
Modeling, Learning, and Processing of Text Technological Data Structures.
Studies in Computational Intelligence (SCI), 370.
Springer, Berlin, pp. 175-195.
ISBN 978-3-642-22612-0, 978-3-642-22613-7.
Fulltext not available.
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