Papers by Romain Meunier
CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification (2025.acl-long)
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| Challenge: | Existing studies on fusion of texts and tabular-based time series to improve performance of NLP applications have focused on coupling texts with tabular time series. |
| Approach: | They propose a multimodal and multilingual dataset for urgency classification that allows for temporal and location alignment even in the absence of location mention in the text. |
| Outcome: | The proposed dataset outperforms text-only models in many applications while ensuring model generalizability. |
Image and Text: Fighting the same Battle? Super Resolution Learning for Imbalanced Text Classification (2023.findings-emnlp)
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| Challenge: | Using high-resolution images to overcome the problem of low resolution has never been used in NLP. |
| Approach: | They propose a super-resolution learning method that uses high-res images to overcome the problem of low resolution images. |
| Outcome: | The proposed method is efficient when compared to state-of-the-art methods on several benchmarks datasets in two languages. |