Discourse Strategies for Generating Natural-Language Text

By K. McKeown. 1985

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In Natural Language Processing

Citations in the corpus

Towards Coherent and Cohesive Long-form Text Generation (2018, background): “…1988), and other forms of coherence and cohesion relations and their quantiﬁ-cation (Edmundson, 1969; Halliday and Hasan, 1976; Hobbs, 1985; McKeown, 1985; Cohen and Levesque, 1985; Hovy, 1988; Liddy, 1991; Hovy, 1991; Mani et al., 1998; Cristea et al., 1998; Barzi-lay and Lapata, 2008;…”
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization (2019, positive): “This underpins the need for global content modeling and semantic understanding of the input, along with discourse-aware text planning to yield a well-formed summary (McKeown, 1985; Barzilay and Lapata, 2008).”
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language (2014, background): “In addition to tactical generation which is deciding how to to say something, a sportscaster must also preform strategic generation which is choosing what to say (McKeown, 1985).”
A Model of Coherence Based on Distributed Sentence Representation (2014, background): “Other computational work defined so called schemas (McKeown, 1985), frames with fixed sequences of clause types to achieve stereotypical communicative intentions.”
Individual and Domain Adaptation in Sentence Planning for Dialogue (2007, methodology): “Discourse planning algorithms can be characterized as: schema-based (McKeown, 1985; Kittredge, Korelsky, & Rambow, 1991); top-down algorithms using plan operators (Moore & Paris, 1993); or bottom-up approaches that use, for example, constraint satisfaction algorithms (Marcu, 1996, 1997) or genetic…”
Building applied natural language generation systems (1997, methodology): “The most popular technique used to implement this kind of discourse planning makes use of what are called schemas (McKeown, 1985; Kittredge et al., 1991).”