Using Natural-Language Processing to Produce Weather Forecasts

By E. Goldberg, N. Driedger, R. Kittredge. 1994

Subfields: Natural Language Processing, Time-Series & Forecasting

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Citations in the corpus

DART: Open-Domain Structured Data Record to Text Generation (2020, background): “…sports commentaries (Tanaka-Ishii et al., 1998; Chen and Mooney, 2008; Wiseman et al., 2017; Wang, 2019; Taniguchi et al., 2019), weather forecasts (Goldberg et al., 1994; Reiter et al., 2005; Liang et al., 2009; Konstas and Lapata, 2012; Mei et al., 2016), biographical texts (Lebret et al., 2016;…”
Challenges in Data-to-Document Generation (2017, methodology): “tent selection (“what to say”) (Kukich, 1983; McKeown, 1992; Reiter and Dale, 1997; Duboue and McKeown, 2003; Barzilay and Lapata, 2005), and surface realization (“how to say it”) (Goldberg et al., 1994; Reiter et al., 2005) with earlier”
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation (2017, background): “…et al., 2011); • textual descriptions of the day-to-day lives of birds based on satellite data (Siddharthan et al., 2013); • weather and financial reports (Goldberg et al., 1994; Reiter et al., 2005; Turner et al., 2008; Ramos-Soto et al., 2015; Wanner et al., 2015; Plachouras et al., 2016); •…”
Text-to-Text Pre-Training for Data-to-Text Tasks (2020, background): “Some example applications include task oriented dialog (Wen et al., 2015), summarizing weather forecasts (Sripada et al.; Goldberg et al., 1994), etc.”
Pre-Trained Language Models for Text Generation: A Survey (2022, background): “, table, graph, and tree) is a critical kind of input for text generation in many real-world applications, such as medical report [73] and weather report [57] generation.”
An Investigation into the Validity of Some Metrics for Automatically Evaluating Natural Language Generation Systems (2009, methodology): “This is one of the most popular applications of NLG (Goldberg, Driedger, and Kittredge 1994; Coch 1998; Reiter et al. 2005), and several NLG weather-forecast systems have been ﬁelded and used.”
Choosing words in computer-generated weather forecasts (2005, background): “The above breakdown was also more or less suggested by Goldberg et al [11].”
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation (2021, methodology): “Table-to-text Generation Table-to-text generation has been widely studied for decades (Kukich, 1983; Goldberg et al., 1994; Reiter and Dale, 1997).”
Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training (2020, background): “Data-To-Text Generation (Kukich, 1983; Goldberg et al., 1994) involves converting knowledge graph (KG) triples of the form (subject, relation, object) into a natural language sentence(s).”
Mapping the field of Algorithmic Journalism (2016, methodology): “A popular application of NLG was textual weather forecasting, e.g. FOG (Goldberg, Driedger, and Kittredge 1994) or SumTime (Reiter et al. 2005).”
Building applied natural language generation systems (1997, methodology): “For example, NLG techniques can be used to: • generate textual weather forecasts from representations of graphical weather maps, as in Goldberg et al. (1994); • summarise statistical data extracted from a database or spreadsheet, as in Iordanskaja et al. (1992); • explain medical information in a…”
Computational Generation of Referring Expressions: A Survey (2012, background): “Gradable words are extremely frequent, and in many NLG systems they are of great importance, particularly in those that have numerical input, for example, in weather forecasting (Goldberg, Driedger, and Kittredge 1994) or medical decision support (Portet et al. 2009).”
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training (2021, background): “Data-To-Text Generation (Kukich, 1983; Goldberg et al., 1994) involves converting knowledge graph (KG) triples of the form (subject, relation, object) into a natural language sentence(s).”
Latent Relation Language Models (2019, background): “Incorporating KGs for natural language generation (NLG) has a long history (Goldberg et al., 1994; Reiter et al., 2005; Chen and Mooney, 2008).”