Anaphora Resolution for Twitter Conversations: An Exploratory Study

Berfin Aktaş, Tatjana Scheffler, Manfred Stede


Abstract
We present a corpus study of pronominal anaphora on Twitter conversations. After outlining the specific features of this genre, with respect to reference resolution, we explain the construction of our corpus and the annotation steps. From this we derive a list of phenomena that need to be considered when performing anaphora resolution on this type of data. Finally, we test the performance of an off-the-shelf resolution system, and provide some qualitative error analysis.
Anthology ID:
W18-0701
Volume:
Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Massimo Poesio, Vincent Ng, Maciej Ogrodniczuk
Venue:
CRAC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–10
Language:
URL:
https://aclanthology.org/W18-0701
DOI:
10.18653/v1/W18-0701
Bibkey:
Cite (ACL):
Berfin Aktaş, Tatjana Scheffler, and Manfred Stede. 2018. Anaphora Resolution for Twitter Conversations: An Exploratory Study. In Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference, pages 1–10, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Anaphora Resolution for Twitter Conversations: An Exploratory Study (Aktaş et al., CRAC 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-0701.pdf