ACL 2019 27 篇论文实现代码（持续更新中）

ACL 2019 将于今年 7月28日-8月2日 在意大利佛罗伦萨举行，作为 NLP 顶级会议之一，备受广大 NLP 学术青年的关注。

ACL 2019 共接收了 765 篇论文，目前官网已经全部公布了，官方链接： https://www.acl2019.org/EN/program/papers.xhtml

但是官网没有公布链接，部分论文也没有展示出来。

所以AI研习社给大家整理了343篇论文，供大家学习！有需要的同学可以自行下载： https://ai.yanxishe.com/page/resourceDetail/898

以下是特意整理的 ACL 2019 相关论文实现代码集合，请查收：

27. 《Learning Deep Transformer Models for Machine Translation》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.01787

GitHub地址： https://github.com/wangqiangneu/dlcl

26. 《GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extractionn》(ACL 2019) 

论文地址： https://tsujuifu.github.io/projs/acl19_graph-rel.html

GitHub地址： https://github.com/tsujuifu/pytorch_graph-rel

25. 《Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems》(ACL 2019) 

论文地址： https://arxiv.org/abs/1907.01166

GitHub地址： https://github.com/henryhungle/MTN

24. 《Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention》(ACL 2019) 

论文地址： https://arxiv.org/abs/1905.12866

GitHub地址： https://github.com/wenhuchen/HDSA-Dialog

23. 《Learning Compressed Sentence Representations for On-Device Text Processing》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.08340

GitHub地址： https://github.com/Linear95/BinarySentEmb

22. 《Dynamically Fused Graph Network for Multi-hop Reasoning》(ACL 2019)

论文地址：  https://arxiv.org/abs/1905.06933

GitHub地址： https://github.com/woshiyyya/DFGN-pytorch

21. 《RankQA: Neural Question Answering with Answer Re-Ranking》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.03008

GitHub地址： https://github.com/bernhard2202/rankqa

20. 《Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling》

论文地址： https://arxiv.org/abs/1906.06893

Github地址： https://github.com/Evan-Gao/conversational-QG

19. 《Matching the Blanks: Distributional Similarity for Relation Learning》

论文地址： https://arxiv.org/abs/1906.03158

Github地址： https://github.com/zhpmatrix/BERTem

18. 《AMR Parsing as Sequence-to-Graph Transduction》(ACL 2019) 

论文地址： https://arxiv.org/abs/1905.08704

GitHub地址： https://github.com/sheng-z/stog

17. 《Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.06893

GitHub地址： https://github.com/Evan-Gao/conversational-QG

16. 《Generating Question-Answer Hierarchies》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.02622

GitHub地址： https://github.com/martiansideofthemoon/squash-generation

15. 《Matching Article Pairs with Graphical Decomposition and Convolutions》(ACL 2019) 

论文地址： https://arxiv.org/abs/1802.07459

GitHub地址： https://github.com/BangLiu/ArticlePairMatching

14. 《Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation》(ACL 2019) 

论文地址： https://arxiv.org/abs/1905.08205?context=cs.CL

GitHub地址： https://github.com/zhanzecheng/IRNet

13. 《Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.07220

GitHub地址： https://github.com/facebookresearch/TreeNLG

12. 《DocRED: A Large-Scale Document-Level Relation Extraction Dataset》(ACL 2019 ) 

论文地址： https://arxiv.org/abs/1906.06127

GitHub地址： https://github.com/thunlp/DocRED

11. 《Attention Guided Graph Convolutional Networks for Relation Extraction》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.07510

GitHub地址： https://github.com/Cartus/AGGCN_TACRED

10. 《Controllable Paraphrase Generation with a Syntactic Exemplar》 (ACL 2019) 

论文地址： https://arxiv.org/abs/1906.00565

GitHub地址： https://github.com/mingdachen/syntactic-template-generation

9. 《Expressing Visual Relationships via Language》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.07689

GitHub地址： https://github.com/airsplay/VisualRelationships

8. 《Syntactically Supervised Transformers for Faster Neural Machine Translation》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.02780

GitHub地址： https://github.com/dojoteef/synst

7. 《Compositional Questions Do Not Necessitate Multi-hop Reasoning》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.02900

GitHub地址： https://github.com/shmsw25/single-hop-rc

6. 《Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems》(ACL 2019) 

论文地址： https://arxiv.org/abs/1905.08743

GitHub地址： https://github.com/jasonwu0731/trade-dst

5. 《Data-to-text Generation with Entity Modeling》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.03221

GitHub地址： https://github.com/ratishsp/data2text-entity-py

4. 《Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model》(ACL 2019) 

论文地址： https://arxiv.org/abs/1906.01749

GitHub地址： https://github.com/Alex-Fabbri/Multi-News

3. 《Variational Pretraining for Semi-supervised Text Classification》(ACL 2019) 

论文地址：https://arxiv.org/abs/1906.02242

GitHub地址： https://github.com/allenai/vampire

2. 《Cognitive Graph for Multi-Hop Reading Comprehension at Scale》(ACL 2019) 

论文地址： https://arxiv.org/abs/1905.05460

GitHub地址： https://github.com/THUDM/CogQA

1. 《Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases》(NAACL 2019)

论文地址： https://arxiv.org/abs/1903.02188

GitHub地址： https://github.com/hugochan/BAMnet

为了更加方便沟通交流，已经给大家准备好了微信群，想要加群的加 “AI研习社小助手” 的微信号吧 ， 欢迎来撩~

更多关于 ACL 2019 的最新资讯和动态，请到AI 研习社社区ACL顶会小组： https://ai.yanxishe.com/page/meeting/81?=from%20leiphone 观看。

雷锋网 (公众号：雷锋网) 雷锋网雷锋网

。