644 citations · 782 across the 16 of their papers we have counts for
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cs.LG2020★ 2 cited
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
Kyle Swanson, Lili Yu, Tao Lei
Selecting input features of top relevance has become a popular method for building self-explaining models. In this work, we extend this selective rationalization approach to text m…
cs.LG2019
Metric Learning for Dynamic Text Classification
Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul +2
Traditional text classifiers are limited to predicting over a fixed set of labels. However, in many real-world applications the label set is frequently changing. For example, in in…