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Authors: Christos Rodosthenous 1 and Loizos Michael 1 ; 2

Affiliations: 1 Open University of Cyprus, Cyprus ; 2 Research Center on Interactive Media, Smart Systems, and Emerging Technologies, Cyprus

Keyword(s): Crowdsourcing, Story Understanding, Commonsense Knowledge.

Abstract: Past work on the task of identifying the geographic focus of news-stories has established that state-of-the-art performance can be achieved by using existing crowdsourced knowledge-bases. In this work we demonstrate that a further refinement of those knowledge-bases through an additional round of crowdsourcing can lead to improved performance on the aforementioned task. Our proposed methodology views existing knowledge-bases as collections of arguments in support of particular inferences in terms of the geographic focus of a given news-story. The refinement that we propose is to associate these arguments with weights — computed through crowdsourcing — in terms of how strongly they support their inference. The empirical results that we present establish the superior performance of this approach compared to the one using the original knowledge-base.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Rodosthenous, C. and Michael, L. (2021). A Crowdsourcing Methodology for Improved Geographic Focus Identification of News-stories. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 680-687. DOI: 10.5220/0010228406800687

@conference{icaart21,
author={Christos Rodosthenous. and Loizos Michael.},
title={A Crowdsourcing Methodology for Improved Geographic Focus Identification of News-stories},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={680-687},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010228406800687},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - A Crowdsourcing Methodology for Improved Geographic Focus Identification of News-stories
SN - 978-989-758-484-8
IS - 2184-433X
AU - Rodosthenous, C.
AU - Michael, L.
PY - 2021
SP - 680
EP - 687
DO - 10.5220/0010228406800687
PB - SciTePress

- Science and Technology Publications, Lda.
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