Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation

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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems (2016, background): “, 2007), convey a specific personality trait (Mairesse and Walker, 2008; Mairesse and Walker, 2011), or align with their conversational partner (Isard et al.”
Training a Natural Language Generator From Unaligned Data (2015, background): “Second, parameter optimization trains adjustable parameters of a handcrafted generator to produce outputs with desired properties (Paiva and Evans, 2005; Mairesse and Walker, 2008).”
Um . . . Who Like Says You Know (2014, background): “Although Mairesse and Walker (2008) have shown that it is possible to estimate personality by examining certain language parameters such as filled pauses (e.g., I mean, err, you know), their personality results were generated by human judges instead of original speakers and did not show any direct…”
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning (2010, background): “producing a target linguistic style (Paiva and Evans, 2005; Mairesse and Walker, 2008), generating the most likely context-free derivations given a corpus (Belz, 2008), or maximising the expected reward using reinforcement learning (Rieser and Lemon, 2009).”