activity
20132024
most citedSOLOv2: Dynamic and Fast Instance Segmentation

480 citations · 2.1k across the 132 of their papers we have counts for

collaborators
Showing 2020Show all

28 papers · 1 filter

cs.CL2020★ 1 cited

Vocabulary Learning via Optimal Transport for Neural Machine Translation

Jingjing Xu, Hao Zhou, Chun Gan +2

The choice of token vocabulary affects the performance of machine translation. This paper aims to figure out what is a good vocabulary and whether one can find the optimal vocabula…

cs.CL2020★ 32 cited

LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification

Jiangjie Chen, Qiaoben Bao, Changzhi Sun +5

Given a natural language statement, how to verify its veracity against a large-scale textual knowledge source like Wikipedia? Most existing neural models make predictions without g…

cs.CL2020★ 6 cited

Finding Sparse Structures for Domain Specific Neural Machine Translation

Jianze Liang, Chengqi Zhao, Mingxuan Wang +2

Neural machine translation often adopts the fine-tuning approach to adapt to specific domains. However, nonrestricted fine-tuning can easily degrade on the general domain and over-…

cs.CL2020★ 6 cited

NeurST: Neural Speech Translation Toolkit

Chengqi Zhao, Mingxuan Wang, Qianqian Dong +2

NeurST is an open-source toolkit for neural speech translation. The toolkit mainly focuses on end-to-end speech translation, which is easy to use, modify, and extend to advanced sp…

cs.CL2020★ 1 cited

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach

Maosen Zhang, Nan Jiang, Lei Li +1

Generating natural language under complex constraints is a principled formulation towards controllable text generation. We present a framework to allow specification of combinatori…

cs.CL2020★ 24 cited

On the Sentence Embeddings from Pre-trained Language Models

Bohan Li, Hao Zhou, Junxian He +3

Pre-trained contextual representations like BERT have achieved great success in natural language processing. However, the sentence embeddings from the pre-trained language models w…