miaozhongjian

miaozhongjian's Stars

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.3k6.4k

• DeepLearnXMU/PSSAttention

  Codes for # ACL2019 paper "Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis", which contains TNet-Att(+AS) and MN(+AS)

  Language:Python285

• DeepLearnXMU/Otem-Utem

  Code for "Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT" (NLPCC 2018)

  Language:Python9

• DeepLearnXMU/Pairwise

  Code for "Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions"(AAAI2020)

  9

• DeepLearnXMU/NSEG

  Code for “Graph based Neural Sentence Ordering” (IJCAI2019)

  Language:Python296

• DeepLearnXMU/CAEncoder-NMT

  Code for "Context-Aware Recurrent Encoder for Neural Machine Translation" (TASLP 2017)

  Language:Python121

• DeepLearnXMU/transformer-aan

  Code for "Accelerating Neural Transformer via an Average Attention Network" (ACL 2018)

  Language:Python7

• DeepLearnXMU/H-RNNSearch

  Code for "A Hierarchy-to-Sequence Attentional Neural Machine Translation Model"(TASLP2018)

  Language:Python8

• DeepLearnXMU/VarNDRR

  Code for "Variational Neural Discourse Relation Recognizer" (EMNLP 2016)

  Language:Python171

• DeepLearnXMU/RRWEL

  Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. Code from IJCAI 2019 paper.

  Language:Python444

• DeepLearnXMU/WDCNMT

  Code for "Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination"(EMNLP2019)

  Language:Python311

• DeepLearnXMU/GMNMT

  Code for "A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation"(ACL2020)

  132

• DeepLearnXMU/DAMAML

  Code for "Domain Adaptive Meta-learning for Dialogue State Tracking"(TASLP2021)

  10

• DeepLearnXMU/IMM

  Code for “An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension” (IJCAI2020)

  Language:Python17

• DeepLearnXMU/MNMT

  Code for "Multi-Modal Neural Machine Translation with Deep Semantic Interactions" (Information Sciences)

  Language:Python16

• DeepLearnXMU/CG-RL

  Code for "Exploring Dynamic Selection of Branch Expansion Orders for Code Generation" (ACL 2021)

  Language:Python302

• DeepLearnXMU/User-Driven-NMT

  Language:Python7

• DeepLearnXMU/multisource_cg_md

  Language:Python9

• DeepLearnXMU/embedding-transfer

  Code for “Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation” (ACL2021)

  Language:Python17

• DeepLearnXMU/CG-ASED

  Code for "An AST Structure Enhanced Decoder for Code Generation"

  Language:Python15

• DeepLearnXMU/Structure-Self-Aware

  Language:Python21

• DeepLearnXMU/DCCN

  Code for "Dynamic Context-guided Capsule Network for Multimodal Machine Translation" （ACM MM2020）

  Language:Python424

• DeepLearnXMU/ABD-NMT

  Code for "Asynchronous bidirectional decoding for neural machine translation" (AAAI, 2018)

  Language:Python316

• DeepLearnXMU/VNMT

  Code for "Variational Neural Machine Translation" (EMNLP2016)

  Language:Python5614

• DeepLearnXMU/IRSEG

  codes for "Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings"(EMNLP2021)

  Language:Python152