Papers with CMU Multimodal Opinion Sentiment
CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French (2020.emnlp-main)
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AmirAli Bagher Zadeh, Yansheng Cao, Simon Hessner, Paul Pu Liang, Soujanya Poria, Louis-Philippe Morency
| Challenge: | Existing datasets in multimodal language are limited and disproportionately affect native speakers of other languages . authors propose a large-scale dataset for Spanish, Portuguese, German and French . |
| Approach: | They propose a large-scale multimodal language dataset for Spanish, Portuguese, German and French. |
| Outcome: | The proposed dataset is the largest of its kind with 40,000 total labelled sentences . it covers a diverse set topics and speakers and carries supervision of 20 labels including sentiment, emotions, and attributes. |
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph (P18-1)
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| Challenge: | Analyzing human multimodal language is emerging area of research in NLP. |
| Approach: | They propose a multimodal fusion technique to exploit how modalities interact in multimodal language. |
| Outcome: | The proposed technique exploits how modalities interact with each other in human multimodal language. |