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)
- Editors:
- Maciej Ogrodniczuk, Vincent Ng, Yulia Grishina, Sameer Pradhan
- Venue:
- CRAC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 133–138
- Language:
- URL:
- https://aclanthology.org/2020.crac-1.14
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.crac-1.14.pdf