7 citations · 20 across the 6 of their papers we have counts for
5 papers · 1 filter
Inducing and Using Alignments for Transition-based AMR Parsing
Andrew Drozdov, Jiawei Zhou, Radu Florian +4
Transition-based parsers for Abstract Meaning Representation (AMR) rely on node-to-word alignments. These alignments are learned separately from parser training and require a compl…
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo +3
Predicting linearized Abstract Meaning Representation (AMR) graphs using pre-trained sequence-to-sequence Transformer models has recently led to large improvements on AMR parsing b…
AMR Parsing with Action-Pointer Transformer
Jiawei Zhou, Tahira Naseem, Ramón Fernandez Astudillo +1
Abstract Meaning Representation parsing is a sentence-to-graph prediction task where target nodes are not explicitly aligned to sentence tokens. However, since graph nodes are sema…
Improving Non-autoregressive Neural Machine Translation with Monolingual Data
Jiawei Zhou, Phillip Keung
Non-autoregressive (NAR) neural machine translation is usually done via knowledge distillation from an autoregressive (AR) model. Under this framework, we leverage large monolingua…
Simple Unsupervised Summarization by Contextual Matching
Jiawei Zhou, Alexander M. Rush
We propose an unsupervised method for sentence summarization using only language modeling. The approach employs two language models, one that is generic (i.e. pretrained), and the…