213 citations · 431 across the 42 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao, Yichun Yin, Lifeng Shang +5
Language model pre-training, such as BERT, has significantly improved the performances of many natural language processing tasks. However, pre-trained language models are usually c…
cs.CL2019
Dialog State Tracking with Reinforced Data Augmentation
Yichun Yin, Lifeng Shang, Xin Jiang +2
Neural dialog state trackers are generally limited due to the lack of quantity and diversity of annotated training data. In this paper, we address this difficulty by proposing a re…
cs.CL2019★ 3 cited
Decomposable Neural Paraphrase Generation
Zichao Li, Xin Jiang, Lifeng Shang +1
Paraphrasing exists at different granularity levels, such as lexical level, phrasal level and sentential level. This paper presents Decomposable Neural Paraphrase Generator (DNPG),…