CrisisBERT: A Robust Transformer for Crisis Classification and Contextual Crisis Embedding

Page-faithful scholarly edition converted from the ACM version of record.

doi: 10.1145/3465336.3475117
name: CrisisBERT: A Robust Transformer for Crisis Classification and Contextual Crisis Embedding
pages: 9
format: page-faithful facsimile
acm_url: https://dl.acm.org/doi/10.1145/3465336.3475117
authors: 1.Junhua Liu
2.Trisha Singhal
3.Lucienne T.M. Blessing
4.Kristin L. Wood
5.Kwan Hui Lim
doi_url: https://doi.org/10.1145/3465336.3475117
license: restricted
summary: Page-faithful scholarly edition converted from the ACM version of record.
keywords: Social Computing; Crisis Classification; Word Embedding; Social Media
published: 2021
source_pdf: HT-2021_35-30_3465336/3465336.3475117.pdf
import_kind: full_text
open_access: false
publication: Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT ’21)
ccs_concepts: Computing methodologies → Natural language processing
displayAuthor: Junhua Liu, Trisha Singhal, Lucienne T.M. Blessing, Kristin L. Wood, Kwan Hui Lim
source_sha256: f6af3a34ae387a1edde82731f5750f5ba97fb3ef3c82be1df18d9b99da2103b8
container_title: Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT ’21)
publication_year: 2021
source_attribution: Complete page images converted from the ACM version of record under supplied ACM publication authorization.