Papers by Bas Marco Göritzer
IDEM: The IDioms with EMotions Dataset for Emotion Recognition (2024.lrec-main)
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Alexander Prochnow, Johannes E. Bendler, Caroline Lange, Foivos Ioannis Tzavellos, Bas Marco Göritzer, Marijn ten Thij, Riza Batista-Navarro
| Challenge: | idiomatic expressions are used in everyday language and typically convey affect, i.e., emotion. |
| Approach: | They present a dataset of idiom-containing sentences that were generated and labelled with any one of 36 emotion types using a generative language model. |
| Outcome: | The proposed method achieves an agreement rate of 62% on the IDioms with EMotions dataset, with human validation by two independent annotators. |