359 citations · 2k across the 127 of their papers we have counts for
6 papers · 2 filters
P-Transformer: Towards Better Document-to-Document Neural Machine Translation
Yachao Li, Junhui Li, Jing Jiang +3
Directly training a document-to-document (Doc2Doc) neural machine translation (NMT) via Transformer from scratch, especially on small datasets usually fails to converge. Our dedica…
Third-Party Aligner for Neural Word Alignments
Jinpeng Zhang, Chuanqi Dong, Xiangyu Duan +2
Word alignment is to find translationally equivalent words between source and target sentences. Previous work has demonstrated that self-training can achieve competitive word align…
WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation
Binbin Xie, Xiangpeng Wei, Baosong Yang +5
Keyphrase generation aims to automatically generate short phrases summarizing an input document. The recently emerged ONE2SET paradigm (Ye et al., 2021) generates keyphrases as a s…
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset
Yahui Liu, Haoping Yang, Chen Gong +3
During the past decade, neural network models have made tremendous progress on in-domain semantic role labeling (SRL). However, performance drops dramatically under the out-of-doma…
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
Yisheng Xiao, Lijun Wu, Junliang Guo +4
Non-autoregressive (NAR) generation, which is first proposed in neural machine translation (NMT) to speed up inference, has attracted much attention in both machine learning and na…
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation
Chulun Zhou, Fandong Meng, Jie Zhou +3
Most dominant neural machine translation (NMT) models are restricted to make predictions only according to the local context of preceding words in a left-to-right manner. Although…