• paper 13
• word-embedding 3
• math 1
• mt 7
• seq2seq 3
• nmt 7
• pytorch 1
• notes 4
• python 3
• ml 1
• transformer 1
• dependency-parsing 2
• word-order 1
• logging 1
• bpe 2
• code 1
• bert 1
• data-augmentation 1
• tm 1

paper

• Bridging the Gap between Training and Inference for Neural Machine Translation 2019-08-09
• Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation 2019-08-05
• Incrementality in Deterministic Dependency Parsing 2019-08-02
• Modeling Coverage for Neural Machine Translation 2019-08-01
• BERT: Pre-training of Deep Bidirectional Transformers for Langua Understanding 2019-07-29
• Neural Machine Translation of Rare Words with Subword Units 2019-07-26
• Assessing the Ability of Self-Attention Networks to Learn Word Order 2019-07-25
• Context Gates for Neural Machine Translation 2019-07-24
• Sequence to Sequence Learning with Neural Networks 2019-07-21
• BLEU: a Method for Automatic Evaluation of Machine Translation 2019-07-21
• Evaluation methods for unsupervised word embeddings 2019-07-19
• Improving Distributional Similarity with Lessons Learned from Word Embeddings 2019-07-18
• GloVe: Global Vectos for Word Representation 2019-07-17

word-embedding

• Evaluation methods for unsupervised word embeddings 2019-07-19
• Improving Distributional Similarity with Lessons Learned from Word Embeddings 2019-07-18
• GloVe: Global Vectos for Word Representation 2019-07-17

math

• 向量和矩阵的微分 2019-07-19

mt

• Bridging the Gap between Training and Inference for Neural Machine Translation 2019-08-09
• Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation 2019-08-05
• Neural Machine Translation of Rare Words with Subword Units 2019-07-26
• Assessing the Ability of Self-Attention Networks to Learn Word Order 2019-07-25
• Context Gates for Neural Machine Translation 2019-07-24
• Sequence to Sequence Learning with Neural Networks 2019-07-21
• BLEU: a Method for Automatic Evaluation of Machine Translation 2019-07-21

seq2seq

• Assessing the Ability of Self-Attention Networks to Learn Word Order 2019-07-25
• Context Gates for Neural Machine Translation 2019-07-24
• Sequence to Sequence Learning with Neural Networks 2019-07-21

nmt

• Bridging the Gap between Training and Inference for Neural Machine Translation 2019-08-09
• Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation 2019-08-05
• Modeling Coverage for Neural Machine Translation 2019-08-01
• Neural Machine Translation of Rare Words with Subword Units 2019-07-26
• Assessing the Ability of Self-Attention Networks to Learn Word Order 2019-07-25
• Context Gates for Neural Machine Translation 2019-07-24
• Sequence to Sequence Learning with Neural Networks 2019-07-21

pytorch

• PyTorch笔记 2019-07-22

notes

• Python笔记 2019-08-02
• Dependency Parsing笔记 2019-07-23
• 神经网络笔记 2019-07-22
• PyTorch笔记 2019-07-22

python

• Python笔记 2019-08-02
• Logging in Python 2019-07-25
• PyTorch笔记 2019-07-22

ml

• 神经网络笔记 2019-07-22

transformer

• Attention is all you need 2019-07-23

dependency-parsing

• Incrementality in Deterministic Dependency Parsing 2019-08-02
• Dependency Parsing笔记 2019-07-23

word-order

• Assessing the Ability of Self-Attention Networks to Learn Word Order 2019-07-25

logging

• Logging in Python 2019-07-25

bpe

• BPE计算的优化 2019-07-28
• Neural Machine Translation of Rare Words with Subword Units 2019-07-26

code

• BPE计算的优化 2019-07-28

bert

• BERT: Pre-training of Deep Bidirectional Transformers for Langua Understanding 2019-07-29

data-augmentation

• Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation 2019-08-05

tm

• Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation 2019-08-05