Z Ji, Q Wei, H Xu - AMIA Summits on Translational Science …, 2020 - pmc.ncbi.nlm.nih.gov
Develo** high-performance entity normalization algorithms that can alleviate the term variation problem is of great interest to the biomedical community. Although deep learning …
J Li, B Chiu, S Feng, H Wang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Few-shot learning under the-way-shot setting (ie, annotated samples for each of classes) has been widely studied in relation extraction (eg, FewRel) and image classification (eg …
Efforts to assess people's sentiments on Twitter have suggested that Twitter could be a valuable resource for studying political sentiment and that it reflects the offline political …
P Liu, G Wang, H Li, J Liu, Y Ren, H Zhu… - Information Processing & …, 2024 - Elsevier
With social media posts tending to be multimodal, Multimodal Named Entity Recognition (MNER) for the text with its accompanying image is attracting more and more attention since …
While utilizing Twitter data for crisis management is of interest to different response authorities, a critical challenge that hinders the utilization of such data is the scarcity of …
To fully support the emerging location-aware applications, location information with meter- level resolution (or even higher) is required anytime and anywhere. Unfortunately, most of …
Abstract Information extracted from social media has proven to be very useful in the domain of emergency management. An important task in emergency management is rapid crisis …