6 citations · 10 across the 6 of their papers we have counts for
7 papers
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators
Xinyou Wang, Zaixiang Zheng, Shujian Huang
Recently, non-autoregressive (NAR) neural machine translation models have received increasing attention due to their efficient parallel decoding. However, the probabilistic framewo…
Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts
Zewei Sun, Qingnan Jiang, Shujian Huang +3
Domain adaptation is an important challenge for neural machine translation. However, the traditional fine-tuning solution requires multiple extra training and yields a high cost. I…
Analyzing the Intensity of Complaints on Social Media
Ming Fang, Shi Zong, Jing Li +3
Complaining is a speech act that expresses a negative inconsistency between reality and human expectations. While prior studies mostly focus on identifying the existence or the typ…
-GLAT: Glancing at Latent Variables for Parallel Text Generation
Yu Bao, Hao Zhou, Shujian Huang +5
Recently, parallel text generation has received widespread attention due to its success in generation efficiency. Although many advanced techniques are proposed to improve its gene…
Energy-based Unknown Intent Detection with Data Manipulation
Yawen Ouyang, Jiasheng Ye, Yu Chen +3
Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose intent has never appeared in the training set. In this paper, we propose using energy scores…
Dual Side Deep Context-aware Modulation for Social Recommendation
Bairan Fu, Wenming Zhang, Guangneng Hu +3
Social recommendation is effective in improving the recommendation performance by leveraging social relations from online social networking platforms. Social relations among users…