Publications
2025
UniC : a dataset for emotion analysis of videos with multimodal and unimodal labels (.pdf)
Du, Q, Labat, S., Demeester, T., & Hoste, V. (2025).
UniC: A Dataset for Emotion Analysis of Videos With Multimodal and Unimodal Labels
Du, Q, Labat, S., Demeester, T., & Hoste, V. (2025).
Why robots are bad at detecting their mistakes : limitations of miscommunication detection in human-robot dialogue (.pdf)
Janssens, R., De Bock, J., Labat, S., Verhelst, E., Hoste, V., & Belpaeme, T. (2025).
2024
EmoTwiCS : a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter (.pdf)
Labat, S., Demeester, T., & Hoste, V. (2024).
EmoWOZ-CS Corpus
Labat, S., Demeester, T., & Hoste, V. (2024).
EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on Twitter
Labat, S., Demeester, T., & Hoste, V. (2024).
Dealing with controversy : an emotion and coping strategy corpus based on role playing (.pdf)
Troiano, E., Labat, S., Stranisci, M., Damiano, R., Patti, V., & Klinger, R. (2024).
COPING: An Emotion and Coping Strategy Corpus Based on Role Playing
Troiano, E., Labat, S., Stranisci, M., Damiano, R., Patti, V., & Klinger, R. (2024).
EmoProgress : cumulated emotion progression analysis in dreams and customer service dialogues (.pdf)
Wemmer, E, Labat, S., & Klinger, R. (2024).
EmoProgress: Cumulated Emotion Progression Analysis in Dreams and Customer Service Dialogues
Wemmer, E, Labat, S., & Klinger, R. (2024).
2023
Unimodalities count as perspectives in multimodal emotion annotation (.pdf)
Du, Q, Labat, S., Demeester, T., & Hoste, V. (2023).
Processing and prescriptivism as constraints on language variation and change : relative clauses in British and Australian English parliamentary debates (.pdf)
Labat, S., Kotze, H., & Szmrecsanyi, B. (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).
Identifying cognates in English-Dutch and French-Dutch by means of orthographic information and cross-lingual word embeddings (.pdf)
Lefever, E., Labat, S., & Singh, P. (2020).
LT3 at SemEval-2020 Task 7 : comparing feature-based and transformer-based approaches to detect funny headlines (.pdf)
Vanroy, B., Labat, S., Kaminska, OK, Lefever, E., & Hoste, V. (2020).
2019
Annotation guidelines for labeling English-Dutch cognate pairs (version 1.0) (.pdf)
Labat, S., Vandevoorde, L., & Lefever, E. (2019).
A classification-based approach to cognate detection combining orthographic and semantic similarity information (.pdf)
Labat, S., & Lefever, E. (2019).