135 citations · 839 across the 29 of their papers we have counts for
9 papers · 1 filter
Zero-Shot Paraphrase Generation with Multilingual Language Models
Yinpeng Guo, Yi Liao, Xin Jiang +3
Leveraging multilingual parallel texts to automatically generate paraphrases has drawn much attention as size of high-quality paraphrase corpus is limited. Round-trip translation,…
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation
Yun Chen, Liangyou Li, Xin Jiang +2
Despite the success of neural machine translation (NMT), simultaneous neural machine translation (SNMT), the task of translating in real time before a full sentence has been observ…
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…
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
Junqiu Wei, Xiaozhe Ren, Xiaoguang Li +7
The pre-trained language models have achieved great successes in various natural language understanding (NLU) tasks due to its capacity to capture the deep contextualized informati…
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…
GPT-based Generation for Classical Chinese Poetry
Yi Liao, Yasheng Wang, Qun Liu +1
We present a simple yet effective method for generating high quality classical Chinese poetry with Generative Pre-trained Language Model (GPT). The method adopts a simple GPT model…