The KBGen Challenge

By Eva Banik, Claire Gardent, Eric Kow. 2013

29 citations recorded by the source corpus.

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In Evaluation & Benchmarks

Citations in the corpus

Creating Training Corpora for NLG Micro-Planners (2017, methodology): “…(2000) created a dataset consisting of 5,426 data-text pairs with a richer vocabulary (927 words) and in the biology domain, the KBGen shared task (Banik et al., 2013) made available 284 data-text pairs where the data was extracted from an existing knowledge base and the text was authored by…”
DART: Open-Domain Structured Data Record to Text Generation (2020, background): “…2018; Liu et al., 2018; Vou-giouklis et al., 2018; Perez-Beltrachini and Lap-ata, 2018), knowledge-base descriptions (Oâ ˘A ´Z-Donnell et al., 2000; Banik et al., 2013; Gardent et al., 2017a,b; Novikova et al., 2017b; Wang et al., 2018; Yu et al., 2019), code comment (Iyer et al., 2016), dialogue…”
The WebNLG Challenge: Generating Text from RDF Data (2017, background): “Previous Natural Language Generation (NLG) challenges have focused on surface realisation (Banik et al., 2013; Belz et al., 2011), referring expression generation (Belz and Gatt, 2007; Gatt et al., 2008; Gatt et al., 2009; Belz et al., 2008; Belz et al., 2009; Belz et al., 2010) and content…”
ToTTo: A Controlled Table-To-Text Generation Dataset (2020, background): “One strategy employed by many datasets is to have an-notators write targets from scratch given a representation of the source (Banik et al., 2013; Wen et al., 2015; Gardent et al., 2017a).”
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation (2017, methodology): “…et al., 2010; Gatt & Belz, 2010); surface realisation (Belz et al., 2011); generation of instructions in virtual environments (Striegnitz et al., 2011; Janarthanam & Lemon, 2011); content determination (Bouayad-Agha et al., 2013; Banik et al., 2013); and question generation (Rus et al., 2011).”