Modelling alignment for affective dialogue

By Carsten Brockmann, Amy Isard, Jon Oberlander, Michael. White. 2005

34 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

1. Ondrej Dusek
2. Michael. White
3. Soumya Batra
4. Ankit Arun
5. Shashank Jain
6. Peyman Heidari
7. Shreyan Bakshi
8. Filip Jurcícek

Citations in the corpus

• Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task (2021, background): “In early work, Brockmann et al. (2005) showed that cache-based language models can be used to adapt NLG systems to align with user’s language, while subsequent work investigated structural priming more specifi-cally (Reitter et al., 2006) and the impact of such adaptation in deployed dialog systems…”
• A Context-aware Natural Language Generator for Dialogue Systems (2016, background): “There have been several attempts at modelling entrainment in dialogue (Brockmann et al., 2005; Reitter et al., 2006; Buschmeier et al., 2010) and even successful implementations of entrainment models in NLG systems for SDS, where entrainment caused an increase in perceived naturalness of the system…”