Determining Whether and When People Participate in the Events They Tweet About

Krishna Chaitanya Sanagavarapu, Alakananda Vempala, Eduardo Blanco


Abstract
This paper describes an approach to determine whether people participate in the events they tweet about. Specifically, we determine whether people are participants in events with respect to the tweet timestamp. We target all events expressed by verbs in tweets, including past, present and events that may occur in the future. We present new annotations using 1,096 event mentions, and experimental results showing that the task is challenging.
Anthology ID:
P17-2101
Volume:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2017
Address:
Vancouver, Canada
Editors:
Regina Barzilay, Min-Yen Kan
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
641–646
Language:
URL:
https://aclanthology.org/P17-2101
DOI:
10.18653/v1/P17-2101
Bibkey:
Cite (ACL):
Krishna Chaitanya Sanagavarapu, Alakananda Vempala, and Eduardo Blanco. 2017. Determining Whether and When People Participate in the Events They Tweet About. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 641–646, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
Determining Whether and When People Participate in the Events They Tweet About (Sanagavarapu et al., ACL 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/P17-2101.pdf