Papers by Slim Essid
Opinions in Interactions : New Annotations of the SEMAINE Database (2022.lrec-1)
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| Challenge: | a new method for the detection of opinions in interactions is proposed . a dataset of dyadic interactions is annotated continuously in two affective dimensions related to the emotions . |
| Approach: | They propose to annotate opinions over a multimodal corpus of dyadic interactions . they use a d-acting algorithm to annnotate the opinions of a speaker . |
| Outcome: | The proposed method allows to obtain a precise annotation regarding the opinion of a speaker. |
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining (D19-1)
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| Challenge: | Existing work on fine grained opinion annotations rely only on coarsely labeled opinions. |
| Approach: | They propose to use hierarchical structure of opinions to build a fine and coarse grained opinion model that exploits different views of the opinion expression. |
| Outcome: | The proposed model outperforms existing models on a recently released multimodal fine grained annotated corpus on IMDB and social networks. |
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models (2025.emnlp-main)
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| Challenge: | Contrastive language-audio pretraining models learn by aligning audio and text in a shared embedding space. |
| Approach: | They propose a framework that integrates knowledge graphs with audio-language models to provide robust semantic grounding. |
| Outcome: | iKnow-audio improves disambiguation of acoustically similar sounds and reduces prompt engineering. |