5 citations · 13 across the 7 of their papers we have counts for
7 papers
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis
Yakun Yu, Mingjun Zhao, Shi-ang Qi +6
Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a speaker. Previous approaches concentrate on performing multimodal fusion and representation…
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…
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…
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…
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…
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…
Incorporating Loose-Structured Knowledge into Conversation Modeling via Recall-Gate LSTM
Zhen Xu, Bingquan Liu, Baoxun Wang +2
Modeling human conversations is the essence for building satisfying chat-bots with multi-turn dialog ability. Conversation modeling will notably benefit from domain knowledge since…