Variation in framing as a function of temporal reporting distance

Levi Remijnse, Marten Postma, Piek Vossen


Abstract
In this paper, we measure variation in framing as a function of foregrounding and backgrounding in a co-referential corpus with a range of temporal distance. In one type of experiment, frame-annotated corpora grouped under event types were contrasted, resulting in a ranking of frames with typicality rates. In contrasting between publication dates, a different ranking of frames emerged for documents that are close to or far from the event instance. In the second type of analysis, we trained a diagnostic classifier with frame occurrences in order to let it differentiate documents based on their temporal distance class (close to or far from the event instance). The classifier performs above chance and outperforms models with words.
Anthology ID:
2021.iwcs-1.22
Volume:
Proceedings of the 14th International Conference on Computational Semantics (IWCS)
Month:
June
Year:
2021
Address:
Groningen, The Netherlands (online)
Venue:
IWCS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
228–238
Language:
URL:
https://aclanthology.org/2021.iwcs-1.22
DOI:
Bibkey:
Cite (ACL):
Levi Remijnse, Marten Postma, and Piek Vossen. 2021. Variation in framing as a function of temporal reporting distance. In Proceedings of the 14th International Conference on Computational Semantics (IWCS), pages 228–238, Groningen, The Netherlands (online). Association for Computational Linguistics.
Cite (Informal):
Variation in framing as a function of temporal reporting distance (Remijnse et al., IWCS 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.iwcs-1.22.pdf
Code
 cltl/hdd_analysis