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20182020
most citedTowards Non-task-specific Distillation of BERT via Sentence Representation Approximation

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

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5 papers

cs.CL20201 cited

Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation

Bowen Wu, Huan Zhang, Mengyuan Li +4

Recently, BERT has become an essential ingredient of various NLP deep models due to its effectiveness and universal-usability. However, the online deployment of BERT is often block…

cs.CL2019

Guiding Variational Response Generator to Exploit Persona

Bowen Wu, Mengyuan Li, Zongsheng Wang +5

Leveraging persona information of users in Neural Response Generators (NRG) to perform personalized conversations has been considered as an attractive and important topic in the re…

cs.CL2019

MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences

Yifu Chen, Zongsheng Wang, Bowen Wu +6

Chinese meme-face is a special kind of internet subculture widely spread in Chinese Social Community Networks. It usually consists of a template image modified by some amusing deta…

cs.CL2018

Learning to Generate Structured Queries from Natural Language with Indirect Supervision

Ziwei Bai, Bo Yu, Bowen Wu +2

Generating structured query language (SQL) from natural language is an emerging research topic. This paper presents a new learning paradigm from indirect supervision of the answers…

cs.CL2018

Why Do Neural Response Generation Models Prefer Universal Replies?

Bowen Wu, Nan Jiang, Zhifeng Gao +6

Recent advances in sequence-to-sequence learning reveal a purely data-driven approach to the response generation task. Despite its diverse applications, existing neural models are…