69 citations · 219 across the 23 of their papers we have counts for
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cs.CL2021★ 15 cited
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets
Jörg Tiedemann, Preslav Nakov
This paper provides an analysis of character-level machine translation models used in pivot-based translation when applied to sparse and noisy datasets, such as crowdsourced movie…
cs.CL2021★ 2 cited
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis +1
Pre-trained neural language models give high performance on natural language inference (NLI) tasks. But whether they actually understand the meaning of the processed sequences rema…