UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43972632" target="_blank" >RIV/49777513:23520/24:43972632 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2024.semeval-1.49.pdf" target="_blank" >https://aclanthology.org/2024.semeval-1.49.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2024.semeval-1.49" target="_blank" >10.18653/v1/2024.semeval-1.49</a>
Alternative languages
Result language
angličtina
Original language name
UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis
Original language description
In this paper, we present an approach for solving SemEval-2024 Task 3: The Competition of Multimodal Emotion Cause Analysis in Conversations. The task includes two subtasks that focus on emotion-cause pair extraction using text, video, and audio modalities. Our approach is composed of encoding all modalities (MFCC and Wav2Vec for audio, 3D-CNN for video, and transformer-based models for text) and combining them in an utterance-level fusion module. The model is then optimized for link and emotion prediction simultaneously. Our approach achieved 6th place in both subtasks. The full leaderboard can be found at https://codalab.lisn.upsaclay.fr/competitions/16141#results
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EH23_021%2F0008436" target="_blank" >EH23_021/0008436: RandD of technologies for advanced digitization in the Pilsen metropolitan area (DigiTech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
ISBN
979-8-89176-107-0
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
316-325
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg
Event location
Mexico City
Event date
Jun 20, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001356736800049