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Related Papers

Learning to Faithfully Rationalize by Construction

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn many settings it is important for one to be able to understand why a model made a particular prediction. In NLP this often entails extracting snippets of an input …...

37614

NILE : Natural Language Inference with Faithful Natural Language Explanations

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe recent growth in the popularity and success of deep learning models on NLP classification tasks has accompanied the need for generating some form of natural language explanation of the …...

37202

Towards Transparent and Explainable Attention Models

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractRecent studies on interpretability of attention distributions have led to notions of faithful and plausible explanations for a model’s predictions. Attention distributions can be considered a faithful explanation if a …...

37668