4 citations · 9 across the 3 of their papers we have counts for
7 papers · 1 filter
SG-Net: Syntax Guided Transformer for Language Representation
Zhuosheng Zhang, Yuwei Wu, Junru Zhou +3
Understanding human language is one of the key themes of artificial intelligence. For language representation, the capacity of effectively modeling the linguistic knowledge from th…
Graph-to-Sequence Neural Machine Translation
Sufeng Duan, Hai Zhao, Rui Wang
Neural machine translation (NMT) usually works in a seq2seq learning way by viewing either source or target sentence as a linear sequence of words, which can be regarded as a speci…
Capsule-Transformer for Neural Machine Translation
Sufeng Duan, Juncheng Cao, Hai Zhao
Transformer hugely benefits from its key design of the multi-head self-attention network (SAN), which extracts information from various perspectives through transforming the given…
Syntax-aware Data Augmentation for Neural Machine Translation
Sufeng Duan, Hai Zhao, Dongdong Zhang +1
Data augmentation is an effective performance enhancement in neural machine translation (NMT) by generating additional bilingual data. In this paper, we propose a novel data augmen…
Attention Is All You Need for Chinese Word Segmentation
Sufeng Duan, Hai Zhao
Taking greedy decoding algorithm as it should be, this work focuses on further strengthening the model itself for Chinese word segmentation (CWS), which results in an even more fas…
SG-Net: Syntax-Guided Machine Reading Comprehension
Zhuosheng Zhang, Yuwei Wu, Junru Zhou +3
For machine reading comprehension, the capacity of effectively modeling the linguistic knowledge from the detail-riddled and lengthy passages and getting ride of the noises is esse…