most citedDiscrete Latent Variable Representations for Low-Resource Text Classification

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2020

Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines

Shuning Jin, Yue Yin, XianE Tang +1

We use pretrained transformer-based language models in SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines. Inspired by the incongruity theory of humor, we use a…

cs.CL2020★ 1 cited

Discrete Latent Variable Representations for Low-Resource Text Classification

Shuning Jin, Sam Wiseman, Karl Stratos +1

While much work on deep latent variable models of text uses continuous latent variables, discrete latent variables are interesting because they are more interpretable and typically…

cs.CL2018

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling

Alex Wang, Jan Hula, Patrick Xia +13

Natural language understanding has recently seen a surge of progress with the use of sentence encoders like ELMo (Peters et al., 2018a) and BERT (Devlin et al., 2019) which are pre…