supported by the Beijing Natural Science Foundation under Grant No.L247008
Multi-modal Named Entity Recognition(MNER),which is vision-language task,utilizes images as auxiliary to detect and classify named entities from input sentence.Recent studies find visual information is helpful for Nam...
supported by"Research on intelligent Computing technology in Financial Risk Control and Anti-fraud",funding code 2020NFACO1,Zhejiang Lab,leaded by Dr.Chongning Na.
In recent years,feature engineering-based machine learning models have made significant progress in auto insurance fraud detection.However,most models or systems focused only on structural data and did not utilize mul...
Multi-modal entity linking plays a crucial role in a wide range of knowledge-based modal-fusion tasks, i.e., multi-modal retrieval and multi-modal event extraction. We introduce the new ZEro-shot Multi-modal Entity Li...
Existing visual scene understanding methods mainly focus on identifying coarse-grained concepts about the visual objects and their relationships,largely neglecting fine-grained scene understanding.In fact,many data-dr...