Web: http://arxiv.org/abs/2209.07562

Sept. 19, 2022, 1:15 a.m. | Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky

cs.CL updates on arXiv.org arxiv.org

We present TwHIN-BERT, a multilingual language model trained on in-domain
data from the popular social network Twitter. TwHIN-BERT differs from prior
pre-trained language models as it is trained with not only text-based
self-supervision, but also with a social objective based on the rich social
engagements within a Twitter heterogeneous information network (TwHIN). Our
model is trained on 7 billion tweets covering over 100 distinct languages
providing a valuable representation to model short, noisy, user-generated text.
We evaluate our model on …

arxiv bert language language model tweet

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