no code implementations • LREC 2022 • Andreas Weise, Matthew McNeill, Rivka Levitan
This enables the study of speakers’ entrainment behavior in different contexts and the sources of variation in this behavior.
no code implementations • EACL 2021 • Andreas Weise, Vered Silber-Varod, Anat Lerner, Julia Hirschberg, Rivka Levitan
It has been well-documented for several languages that human interlocutors tend to adapt their linguistic productions to become more similar to each other.
no code implementations • 3 Nov 2020 • Andreas Weise, Rivka Levitan
These results demonstrate the advantages of using neural networks to model entrainment, and raise questions regarding how to interpret prior associations of conversation quality with entrainment measures that do not account for consistency.
no code implementations • NAACL 2018 • Andreas Weise, Rivka Levitan
Entrainment has been shown to occur for various linguistic features individually.
no code implementations • WS 2018 • Michelle Morales, Stefan Scherer, Rivka Levitan
Automated depression detection is inherently a multimodal problem.
no code implementations • 31 Jan 2018 • Guozhen An, Rivka Levitan
Personality have been found to predict many life outcomes, and there have been huge interests on automatic personality recognition from a speaker's utterance.
no code implementations • WS 2017 • Michelle Morales, Stefan Scherer, Rivka Levitan
Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines.