You’ll Never Tweet Alone: Building Sports Match Timelines from Microblog Posts

Amosse Edouard, Elena Cabrio, Sara Tonelli, Nhan Le-Thanh


Abstract
In this paper, we propose an approach to build a timeline with actions in a sports game based on tweets. We combine information provided by external knowledge bases to enrich the content of the tweets, and apply graph theory to model relations between actions and participants in a game. We demonstrate the validity of our approach using tweets collected during the EURO 2016 Championship and evaluate the output against live summaries produced by sports channels.
Anthology ID:
R17-1030
Volume:
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
Month:
September
Year:
2017
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
214–221
Language:
URL:
https://doi.org/10.26615/978-954-452-049-6_030
DOI:
10.26615/978-954-452-049-6_030
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PDF:
https://doi.org/10.26615/978-954-452-049-6_030