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Found 3 papers, 1 papers with code
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue
For high-stake domains that are also knowledge-rich, we show how to use knowledge to (a) identify which rare tokens that appear in both source and reference are important and (b) uplift their conditional probability.
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling
From these observations, we conclude that the high degree of oversmoothing is the main reason behind the degenerate case of overly probable short sequences in a neural autoregressive model.
Lexical Quantile-Based Text Complexity Measure
We use the reference corpus of texts and the quantile approach in order to determine what words are rare, and what frequencies are abnormal.
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