The Extended SPaRKy Restaurant Corpus: Designing a Corpus with Variable Information Density

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Semantic Noise Matters for Neural Natural Language Generation (2019, background): “However, NNLG requires large volumes of in-domain data, which is typically crowdsourced (e.g. Mairesse et al., 2010; Novikova et al., 2016; Wen et al., 2015, 2016; Howcroft et al., 2017), introducing noise.”
Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring? (2018, background): “…where we speciﬁed a target sentence complexity instead of a target number of sentences, since this may more intuitively correspond to a notion of reading level or sentence complexity, where the assumption is that longer sentences are more complex (Howcroft et al., 2017; Siddharthan et al., 2004).”