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dc.contributor.authorAndy, Anietieen_US
dc.contributor.authorWijaya, Derry Tantien_US
dc.contributor.authorCallison-Burch, Chrisen_US
dc.date.accessioned2020-05-08T15:45:00Z
dc.date.available2020-05-08T15:45:00Z
dc.date.issued2019
dc.identifier.citationAnietie Andy, Derry Tanti Wijaya, Chris Callison-Burch. 2019. "Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events." Proceedings of the Second Workshop on Storytelling. Proceedings of the Second Workshop on Storytelling. 2019-08 - 2019-08. https://doi.org/10.18653/v1/w19-3412
dc.identifier.urihttps://hdl.handle.net/2144/40711
dc.description.abstractPre-scheduled events, such as TV shows and sports games, usually garner considerable attention from the public. Twitter captures large volumes of discussions and messages related to these events, in real-time. Twitter streams related to pre-scheduled events are characterized by the following: (1) spikes in the volume of published tweets reflect the highlights of the event and (2) some of the published tweets make reference to the characters involved in the event, in the context in which they are currently portrayed in a subevent. In this paper, we take advantage of these characteristics to identify the highlights of pre-scheduled events from tweet streams and we demonstrate a method to summarize these highlights. We evaluate our algorithm on tweets collected around 2 episodes of a popular TV show, Game of Thrones, Season 7.en_US
dc.language.isoen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.relation.ispartofProceedings of the Second Workshop on Storytelling
dc.rightsACL materials are Copyright © 1963–2019 ACL; other materials are copyrighted by their respective copyright holders. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleWinter is here: summarizing Twitter streams related to pre-scheduled eventsen_US
dc.typeConference materialsen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.18653/v1/w19-3412
pubs.elements-sourcecrossrefen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Computer Scienceen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv537587


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ACL materials are Copyright © 1963–2019 ACL; other materials are copyrighted by their respective copyright holders. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
Except where otherwise noted, this item's license is described as ACL materials are Copyright © 1963–2019 ACL; other materials are copyrighted by their respective copyright holders. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.