Natural Language Generation

By Anya Belz, Roger Evans, Paul Piwek. 2004

234 citations recorded by the source corpus.

How researchers see this paper

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Citations in the corpus

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation (2017, background): “Given its emphasis on linguistic features, controlling style (however it is defined) is a problem of great interest for nlg since it directly addresses issues of choice, which are arguably the hallmark of any nlg system (c.f. Reiter, 2010).”
A Survey of Paraphrasing and Textual Entailment Methods (2009, background): “Some information would be lost in the translation, because (28) is not a paraphrase of (27), but the translation may still be preferable to the outcome of translating directly (27).”
Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective (2022, background): “However, they can be resource-intensive - previous studies [56, 57] cite five figure sums, including data analysis and planning [58].”
Natural language processing (NLP) in management research: A literature review (2020, background): “In contrast, NLG is the production of text in natural languages that are understandable by humans based on the provision of structured data, text, graphics, audio, and video, (McDonald, 2010).”
Human Focused Video Description (2011, background): “Kempen presented NLG as a process comprising of content determination, discourse planning, sentence aggregation, lexicalisation, referring expression generation, and linguistic realisation [7].”
A review of explanation methods for Bayesian networks (2002, background): “Among the ongoing projects, the current research of Zukerman, McConachy and Corb (McConachy et al., 1998; Zukerman et al., 1998a; Zukerman et al., 1998b) stands out.”
Mapping the field of Algorithmic Journalism (2016, methodology): “For this analysis, 10 technical potential dimensions are identified, derived from scientific literature focusing on NLG (Carstensen et al. 2010; McDonald 2010; Reiter 2010; Reiter and Dale 2000) and journalism (Neuberger 2001; Wolf 2014).”
Systematic review automation technologies (2014, methodology): “Future research Natural Language Generation (NLG) technology [138] can be used to write specific para-graphs within the review such as descriptions of the types of documents found, results of the appraisal and summaries of the findings.”
Community Targeted Spam: A Middle Ground Between General Spam and Spear Phishing (2017, background): “As an example, psycholinguistic models of language comprehension show that reflective pronouns usually improve a text readability and thus should be normally used, but such pronouns should be usually avoided in safety-critical texts, like operation manuals for nuclear power plants [5].”