CrisisBERT: A Robust Transformer for Crisis Classification and Contextual Crisis Embedding
Page-faithful scholarly edition converted from the ACM version of record.

Source and attribution. “CrisisBERT: A Robust Transformer for Crisis Classification and Contextual Crisis Embedding” by Junhua Liu, Trisha Singhal, Lucienne T.M. Blessing, Kristin L. Wood, Kwan Hui Lim, Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT ’21) (2021), DOI: 10.1145/3465336.3475117. This page-faithful edition reproduces every scholarly page of the supplied ACM version of record. The trailing Visual-Meta appendix is excluded as non-scholarly administrative material.

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Attributes
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
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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
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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.