Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck
Author:
Affiliation:
1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
2. Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Key Research and Development Program of China
Youth Innovation Promotion Association of CAS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6570655/10304349/10413604.pdf?arnumber=10413604
Reference50 articles.
1. Adaptive Co-attention Network for Named Entity Recognition in Tweets
2. MNRE: A Challenge Multimodal Dataset for Neural Relation Extraction with Visual Evidence in Social Media Posts
3. Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging
4. Multimodal Representation with Embedded Visual Guiding Objects for Named Entity Recognition in Social Media Posts
5. Object-Aware Multimodal Named Entity Recognition in Social Media Posts With Adversarial Learning
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