Resolving Pronouns in Twitter Streams: Context can Help!

Anietie Andy, Chris Callison-Burch, Derry Tanti Wijaya


Abstract
Many people live-tweet televised events like Presidential debates and popular TV-shows and discuss people or characters in the event. Naturally, many tweets make pronominal reference to these people/characters. We propose an algorithm for resolving personal pronouns that make reference to people involved in an event, in tweet streams collected during the event.
Anthology ID:
2020.crac-1.14
Volume:
Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference
Month:
December
Year:
2020
Address:
Barcelona, Spain (online)
Venues:
COLING | CRAC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
133–138
Language:
URL:
https://aclanthology.org/2020.crac-1.14
DOI:
Bibkey:
Cite (ACL):
Anietie Andy, Chris Callison-Burch, and Derry Tanti Wijaya. 2020. Resolving Pronouns in Twitter Streams: Context can Help!. In Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, pages 133–138, Barcelona, Spain (online). Association for Computational Linguistics.
Cite (Informal):
Resolving Pronouns in Twitter Streams: Context can Help! (Andy et al., CRAC 2020)
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PDF:
https://aclanthology.org/2020.crac-1.14.pdf