activity
20192026
most citedChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT

149 citations · 208 across the 47 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CL2021

Towards Making the Most of Dialogue Characteristics for Neural Chat Translation

Yunlong Liang, Chulun Zhou, Fandong Meng +4

Neural Chat Translation (NCT) aims to translate conversational text between speakers of different languages. Despite the promising performance of sentence-level and context-aware n…

cs.CL2021

Scheduled Sampling Based on Decoding Steps for Neural Machine Translation

Yijin Liu, Fandong Meng, Yufeng Chen +2

Scheduled sampling is widely used to mitigate the exposure bias problem for neural machine translation. Its core motivation is to simulate the inference scene during training by re…

cs.CL2021

Modeling Bilingual Conversational Characteristics for Neural Chat Translation

Yunlong Liang, Fandong Meng, Yufeng Chen +2

Neural chat translation aims to translate bilingual conversational text, which has a broad application in international exchanges and cooperation. Despite the impressive performanc…

cs.CL2021

Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition

Ying Zhang, Fandong Meng, Yufeng Chen +2

Zero-resource named entity recognition (NER) severely suffers from data scarcity in a specific domain or language. Most studies on zero-resource NER transfer knowledge from various…

cs.CL2021

Confidence-Aware Scheduled Sampling for Neural Machine Translation

Yijin Liu, Fandong Meng, Yufeng Chen +2

Scheduled sampling is an effective method to alleviate the exposure bias problem of neural machine translation. It simulates the inference scene by randomly replacing ground-truth…