Follow
Luna De Bruyne
Luna De Bruyne
Verified email at uantwerpen.be
Title
Cited by
Cited by
Year
Joint emotion label space modeling for affect lexica
L De Bruyne, P Atanasova, I Augenstein
Computer Speech & Language 71, 101257, 2022
232022
LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets
L De Bruyne, O De Clercq, V Hoste
Proceedings of The 12th International Workshop on Semantic Evaluation, June …, 2018
172018
News topic classification as a first step towards diverse news recommendation
O De Clercq, L De Bruyne, V Hoste
Computational Linguistics in the Netherlands Journal 10, 37-55, 2020
152020
An emotional mess! deciding on a framework for building a Dutch emotion-annotated corpus
L De Bruyne, O De Clercq, V Hoste
Proceedings of the Twelfth Language Resources and Evaluation Conference, May …, 2020
122020
Annotating affective dimensions in user-generated content: Comparing the reliability of best–worst scaling, pairwise comparison and rating scales for annotating valence …
L De Bruyne, O De Clercq, V Hoste
Language Resources and Evaluation, 1-29, 2021
82021
Prospects for Dutch emotion detection: Insights from the new emotionl dataset
L De Bruyne, O De Clercq, V Hoste
Computational Linguistics in the Netherlands Journal 11, 231-255, 2021
82021
Orphee De Clercq, and Veronique Hoste. 2021. Emotional RobBERT and insensitive BERTje: Combining transformers and affect lexica for Dutch emotion detection
L De Bruyne
Proceedings of the Eleventh Workshop on Computational Approaches to …, 0
7
Emotional RobBERT and insensitive BERTje: combining transformers and affect lexica for Dutch emotion detection
L De Bruyne, O De Clercq, V Hoste
Workshop on Computational Approaches to Subjectivity and Sentiment Analysis …, 2021
62021
Stylometric text analysis for dutch-speaking adolescents with autism spectrum disorder
L De Bruyne, B Verhoeven, W Daelemans
Computational Linguistics in the Netherlands Journal, 3-23, 2018
32018
Mixing and matching emotion frameworks: Investigating cross-framework transfer learning for dutch emotion detection
L De Bruyne, O De Clercq, V Hoste
Electronics 10 (21), 2643, 2021
22021
The Paradox of Multilingual Emotion Detection
L De Bruyne
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity …, 2023
12023
Aspect-based emotion analysis and multimodal coreference: a case study of customer comments on Adidas instagram posts
L De Bruyne, A Karimi, O De Clercq, A Prati, V Hoste
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
12022
Towards an empirically grounded framework for emotion analysis
L De Bruyne, O De Clercq, V Hoste
HUSO 2019: The Fifth International Conference on Human and Social Analytics …, 2019
12019
Benchmarking zero-shot text classification for Dutch
L De Langhe, A Maladry, B Vanroy, L De Bruyne, P Singh, E Lefever
Computational Linguistics in the Netherlands Journal 13, 63-90, 2024
2024
Using State-of-the-art Emotion Detection Models in a Crisis Communication Context
L De Bruyne, TGLA van der Meer, O De Clercq, V Hoste
Computational Communication Research 6 (1), 1, 2024
2024
Misery Loves Complexity: Exploring Linguistic Complexity in the Context of Emotion Detection
P Singh, L De Bruyne, O De Clercq, E Lefever
Findings of the Association for Computational Linguistics: EMNLP 2023, 12871 …, 2023
2023
How language-dependent is emotion detection? Evidence from multilingual BERT
L De Bruyne, P Singh, O De Clercq, E Lefever, V Hoste
Proceedings of the The 2nd Workshop on Multi-lingual Representation Learning …, 2022
2022
Feeling EmotioNL: automatically detecting emotions in Dutch texts
L De Bruyne
Ghent University, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–18