Data-to-text Generation
Data-To-Text Generation is a subfield of natural language generation that specializes in transforming structured data into coherent and contextually appropriate textual narratives.
501
Publications
27.7K
Citations
1.4K
Authors
445
Institutions
Publications per year
2017–2026
358
501
Building Natural-Language Generation Systems
Ehud Reiter · ArXiv.org · 1996 · 1.3K citations · Full text
Building applied natural language generation systems
Ehud Reiter, Robert Dale · Natural Language Engineering · 1997 · 647 citations
Challenges in Data-to-Document Generation
Sam Wiseman, Stuart M. Shieber, Alexander M. Rush · 2017 · 499 citations · Full text
1–5 of 501
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Laboratoire Lorrain de Recherche en Informatique et ses Applications, France
10 publications · 1K citations
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445

University of Aberdeen
Aberdeen, United Kingdom
18 h-index
45 publications
3.9K citations

University of Edinburgh
Edinburgh, United Kingdom
16 h-index
35 publications
3.3K citations

Peking University
Beijing, China
12 h-index
33 publications
2K citations
Google (United States)
Mountain View, United States
12 h-index
31 publications
1K citations
Microsoft Research Asia (China)
Beijing, China
11 h-index
43 publications
2.3K citations

Tilburg University
Tilburg, The Netherlands
10 h-index
17 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
31 publications
705 citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
17 publications
1.9K citations
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Repository · 63 publications · 2.8K citations
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Conference · 11 publications · 781 citations
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TVCG · 6 publications · 551 citations
6
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6 publications · 920 citations
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Conference · 5 publications · 168 citations
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