activity
20162021
most citedPiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

23 citations · 95 across the 9 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2021

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…

cs.CL2020★ 17 cited

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…

cs.CL2020★ 14 cited

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…

cs.CL2019★ 16 cited

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…

cs.CL2019★ 7 cited

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…

cs.CL2018★ 2 cited

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…