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Other literature type . Article . Conference object . 2019
License: CC BY NC ND
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Conference object . 2019
License: CC BY NC ND
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A Platform for Commonsense Knowledge Acquisition Using Crowdsourcing

Authors: Rodosthenous Christos, T.; Loizos, Michael;

A Platform for Commonsense Knowledge Acquisition Using Crowdsourcing

Abstract

In this article, we present our work on developing and using a crowdsourcing platform for acquiring commonsense knowledge aiming to create machines that are able to understand stories. More specifically, we present a platform that has been used in the development of a crowdsourcing application and two Games With A Purpose. The platform’s specifications and features are presented along with examples of applying them in developing the aforementioned applications. The article concludes with pointers on how the crowdsourcing platform can be utilized for language learning, referencing relevant work on developing a prototype application for a vocabulary trainer.

This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 739578 and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.

Keywords

commonsense knowledge, Crowdsourcing, cloze tests, Games With A Purpose

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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downloads
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