most citedKnowledge Perceived Multi-modal Pretraining in E-commerce

21 citations · 21 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2022

MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning

Zejun Li, Zhihao Fan, Huaixiao Tou +3

Previous vision-language pre-training models mainly construct multi-modal inputs with tokens and objects (pixels) followed by performing cross-modality interaction between them. We…

cs.CV2021★ 21 cited

Knowledge Perceived Multi-modal Pretraining in E-commerce

Yushan Zhu, Huaixiao Tou, Wen Zhang +4

In this paper, we address multi-modal pretraining of product data in the field of E-commerce. Current multi-modal pretraining methods proposed for image and text modalities lack ro…

cs.AI2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

Ningyu Zhang, Qianghuai Jia, Shumin Deng +8

Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in semantic search. Prior conceptual graph construction approaches typically extract high-…

cs.IR2021

OntoED: Low-resource Event Detection with Ontology Embedding

Shumin Deng, Ningyu Zhang, Luoqiu Li +5

Event Detection (ED) aims to identify event trigger words from a given text and classify it into an event type. Most of current methods to ED rely heavily on training instances, an…

cs.AI2021

Text-guided Legal Knowledge Graph Reasoning

Luoqiu Li, Zhen Bi, Hongbin Ye +3

Recent years have witnessed the prosperity of legal artificial intelligence with the development of technologies. In this paper, we propose a novel legal application of legal provi…