Papers by Zhongzheng Qiao
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. |