17 citations · 24 across the 5 of their papers we have counts for
6 papers
Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension
Huibin Zhang, Zhengkun Zhang, Yao Zhang +5
Procedural Multimodal Documents (PMDs) organize textual instructions and corresponding images step by step. Comprehending PMDs and inducing their representations for the downstream…
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics
Hongru Liang, Haozheng Wang, Qian Li +5
Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, d…
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Yao Zhang, Xu Zhang, Jun Wang +5
Developing link prediction models to automatically complete knowledge graphs has recently been the focus of significant research interest. The current methods for the link predicti…
GMH: A General Multi-hop Reasoning Model for KG Completion
Yao Zhang, Hongru Liang, Adam Jatowt +4
Knowledge graphs are essential for numerous downstream natural language processing applications, but are typically incomplete with many facts missing. This results in research effo…
Multi-modal Summarization for Video-containing Documents
Xiyan Fu, Jun Wang, Zhenglu Yang
Summarization of multimedia data becomes increasingly significant as it is the basis for many real-world applications, such as question answering, Web search, and so forth. Most ex…
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features
Hongru Liang, Haozheng Wang, Jun Wang +4
Learning social media content is the basis of many real-world applications, including information retrieval and recommendation systems, among others. In contrast with previous work…