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Found 14 papers, 3 papers with code
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes
In this paper, we propose SESCORE2, a self-supervised approach for training a model-based metric for text generation evaluation.
The VolcTrans System for WMT22 Multilingual Machine Translation Task
This report describes our VolcTrans system for the WMT22 shared task on large-scale multilingual machine translation.
PARAGEN : A Parallel Generation Toolkit
PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation.
LightSeq2: Accelerated Training for Transformer-based Models on GPUs
In this paper, we present LightSeq2, a system to accelerate training for a general family of Transformer models on GPUs.
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task
For this year{'}s multilingual dependency parsing shared task, we developed a pipeline system, which uses a variety of features for each of its components.
2-Slave Dual Decomposition for Generalized Higher Order CRFs
We show that the decoding problem in generalized Higher Order Conditional Random Fields (CRFs) can be decomposed into two parts: one is a tree labeling problem that can be solved in linear time using dynamic programming; the other is a supermodular quadratic pseudo-Boolean maximization problem, which can be solved in cubic time using a minimum cut algorithm.
Branch and Bound Algorithm for Dependency Parsing with Non-local Features
Graph based dependency parsing is inefficient when handling non-local features due to high computational complexity of inference.
