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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).

Affective threads : data-driven modeling of emotional processes in social interaction (.pdf)

Labat, S. (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

Preface (.pdf)

De Clercq, O., Rigouts Terryn, A., Doğruöz, A.S., Tezcan, A., Vanroy, B., Labat, S., & Macken, L. (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).