23 citations · 95 across the 9 of their papers we have counts for
10 papers
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…
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music
Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan +3
Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a…
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…
Curriculum Pre-training for End-to-End Speech Translation
Chengyi Wang, Yu Wu, Shujie Liu +2
End-to-end speech translation poses a heavy burden on the encoder, because it has to transcribe, understand, and learn cross-lingual semantics simultaneously. To obtain a powerful…
Attention Optimization for Abstractive Document Summarization
Min Gui, Junfeng Tian, Rui Wang +1
Attention plays a key role in the improvement of sequence-to-sequence-based document summarization models. To obtain a powerful attention helping with reproducing the most salient…
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
Chengyi Wang, Yu Wu, Shujie Liu +2
End-to-end speech translation, a hot topic in recent years, aims to translate a segment of audio into a specific language with an end-to-end model. Conventional approaches employ m…
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…
Automatic Generation of Grounded Visual Questions
Shijie Zhang, Lizhen Qu, Shaodi You +2
In this paper, we propose the first model to be able to generate visually grounded questions with diverse types for a single image. Visual question generation is an emerging topic…