6 citations · 23 across the 16 of their papers we have counts for
4 papers · 1 filter
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation
Jinliang Lu, Jiajun Zhang
Back-translation (BT) has become one of the de facto components in unsupervised neural machine translation (UNMT), and it explicitly makes UNMT have translation ability. However, a…
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization
Haitao Lin, Liqun Ma, Junnan Zhu +4
Dialogue summarization has drawn much attention recently. Especially in the customer service domain, agents could use dialogue summaries to help boost their works by quickly knowin…
Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models
Haitao Lin, Lu Xiang, Yu Zhou +2
Spoken Language Understanding (SLU) is one essential step in building a dialogue system. Due to the expensive cost of obtaining the labeled data, SLU suffers from the data scarcity…
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Yangyifan Xu, Yijin Liu, Fandong Meng +3
Recently, token-level adaptive training has achieved promising improvement in machine translation, where the cross-entropy loss function is adjusted by assigning different training…