activity
20152022
most citedLuna: Linear Unified Nested Attention

49 citations · 120 across the 10 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CL201911 cited

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Xuezhe Ma, Chunting Zhou, Xian Li +2

Most sequence-to-sequence (seq2seq) models are autoregressive; they generate each token by conditioning on previously generated tokens. In contrast, non-autoregressive seq2seq mode…

cs.CL2019

Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma +2

Cross-lingual transfer learning has become an important weapon to battle the unavailability of annotated resources for low-resource languages. One of the fundamental techniques to…

cs.CL2019

Handling Syntactic Divergence in Low-resource Machine Translation

Chunting Zhou, Xuezhe Ma, Junjie Hu +1

Despite impressive empirical successes of neural machine translation (NMT) on standard benchmarks, limited parallel data impedes the application of NMT models to many language pair…

cs.CL201933 cited

Choosing Transfer Languages for Cross-Lingual Learning

Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee +10

Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance…

cs.CL2019

Density Matching for Bilingual Word Embedding

Chunting Zhou, Xuezhe Ma, Di Wang +1

Recent approaches to cross-lingual word embedding have generally been based on linear transformations between the sets of embedding vectors in the two languages. In this paper, we…

cs.LG2019

MaCow: Masked Convolutional Generative Flow

Xuezhe Ma, Xiang Kong, Shanghang Zhang +1

Flow-based generative models, conceptually attractive due to tractability of both the exact log-likelihood computation and latent-variable inference, and efficiency of both trainin…