SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Author and article information

Conference

Publisher: Association for Computational Linguistics

Publication date: 2020

Publication date (Print): 2020

Pages: 485-490

Article

DOI: 10.18653/v1/2020.wnut-1.73

SO-VID: 08c0cd4c-f38a-4853-8716-8385df4a1d8b

Conference name: Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)

Conference location: Online

Conference date: December, 2020 - December, 2020

History

ScienceOpen disciplines: Quantitative & Systems biology,Biophysics

Data availability:

ScienceOpen disciplines: Quantitative & Systems biology, Biophysics

Comments

Comment on this article

scite_

Smart Citations

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.