Integrating content and style in documents: a case study of patient information leaflets
By Nadjet Bouayad-Agha, D. Scott, R. Power. 2000
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
- Philipp Koehn
- Ondrej Bojar
- Lucia Specia
- Barry Haddow
- Matt Post
- Ondrej Dusek
- Graham Neubig
- Christof Monz
Citations in the corpus
- Findings of the 2014 Workshop on Statistical Machine Translation (2014, background): “The PIL corpus is a collection of documents giving instructions to patients about their medication (Bouayad-Agha et al., 2000).”
- Individual and Domain Adaptation in Sentence Planning for Dialogue (2007, neutral): “Research has also focused on other factors that affect stylistic variation – how realization choices reflect personality, politeness, emotion or domain specific style (Hovy, 1987; DiMarco & Foster, 1997; Walker, Cahn, & Whittaker, 1997; Andr´e, Rist, van Mulken, Klesen, & Baldes, 2000; Bouayad-Agha”
- Machine Translation of Medical Texts in the Khresmoi Project (2014, background): “, 2009), and PIL (Bouayad-Agha et al., 2000).”