Short-Term Meaning Shift: A Distributional Exploration

Marco Del Tredici, Raquel Fernández, Gemma Boleda


Abstract
We present the first exploration of meaning shift over short periods of time in online communities using distributional representations. We create a small annotated dataset and use it to assess the performance of a standard model for meaning shift detection on short-term meaning shift. We find that the model has problems distinguishing meaning shift from referential phenomena, and propose a measure of contextual variability to remedy this.
Anthology ID:
N19-1210
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Editors:
Jill Burstein, Christy Doran, Thamar Solorio
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2069–2075
Language:
URL:
https://aclanthology.org/N19-1210
DOI:
10.18653/v1/N19-1210
Bibkey:
Cite (ACL):
Marco Del Tredici, Raquel Fernández, and Gemma Boleda. 2019. Short-Term Meaning Shift: A Distributional Exploration. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 2069–2075, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Short-Term Meaning Shift: A Distributional Exploration (Del Tredici et al., NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/N19-1210.pdf
Video:
 https://aclanthology.org/N19-1210.mp4
Code
 marcodel13/Short-term-meaning-shift