1. Home
  2. People
  3. Thomas Demeester
  4. Publications

Publications

In press

UniC : a dataset for emotion analysis of videos with multimodal and unimodal labels (.pdf)

Du, Q, Labat, S., Demeester, T., & Hoste, V. (2025).

2024

EmoTwiCS : a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter (.pdf)

Labat, S., Demeester, T., & Hoste, V. (2024).

2023

Learning from partially annotated data : example-aware creation of gap-filling exercises for language learning (.pdf)

Bitew, S., Deleu, J., Doğruöz, A., Develder, C., & Demeester, T. (2023).

Unimodalities count as perspectives in multimodal emotion annotation (.pdf)

Du, Q, Labat, S., Demeester, T., & Hoste, V. (2023).

Diverse content selection for educational question generation (.pdf)

Hadifar, A., Bitew, S., Deleu, J., Hoste, V., Develder, C., & Demeester, T. (2023).

2022

Variation in the expression and annotation of emotions : a Wizard of Oz pilot study (.pdf)

Labat, S., Ackaert, N., Demeester, T., & Hoste, V. (2022).

An emotional journey : detecting emotion trajectories in Dutch customer service dialogues (.pdf)

Labat, S., Hadifar, A., Demeester, T., & Hoste, V. (2022).

2021

A million tweets are worth a few points: tuning transformers for customer service tasks (.pdf)

Hadifar, A., Labat, S., Hoste, V., Develder, C., & Demeester, T. (2021).

2020

Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0) (.pdf)

Labat, S., Demeester, T., & Hoste, V. (2020).