Linguist’s Assistant: A Multi-Lingual Natural Language Generator based on Linguistic Universals, Typologies, and Primitives
By Tod Allman, S. Beale, R. Denton. 2012
4 citations recorded by the source corpus.
Subfields: Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Ondrej Dusek
- David M. Howcroft
- Simon Mille
- Filip Jurvc'ivcek
- Anya Belz
- Verena Rieser
- Jekaterina Novikova
- Ehud Reiter
Citations in the corpus
- Neural Generation for Czech: Data and Baselines (2019, methodology): “There have been a few approaches using handcrafted grammars (Bateman, 1997; Allman et al., 2012).”
- Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing (2020, background): “…obscured behind criteria names, as is the case for the following names, all defined as the usefulness of the output text for completing a particular task: Dialogue efficiency (Qu and Green, 2002), Usefulness (Miliaev et al., 2003), Task completion (Varges, 2006), Productivity (Allman et al., 2012).”