ACL 2019 26 篇論文實現代碼

整理：AI研習社助助

編輯：Pita

ACL 2019 將於今年 7月28日-8月2日 在義大利佛羅倫薩舉行，作為 NLP 頂級會議之一，備受廣大 NLP 學術青年的關注。

ACL 2019 共接收了 765 篇論文，目前官網已經全部公布了接收論文列表，官方鏈接：http://www.acl2019.org/EN/program/papers.xhtml

但是官網還沒有公布論文的鏈接，部分論文也沒有展示出來。

但是AI研習社還是給大家整理到343篇論文，供大家學習！有需要的同學可以自行下載：https://ai.yanxishe.com/page/resourceDetail/898

以下是特意整理的 ACL 2019 相關論文實現代碼集合，請查收~

論文實現代碼集合

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

論文地址：https://arxiv.org/abs/1906.01787

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

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

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

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

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

論文地址：https://arxiv.org/abs/1907.01166

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

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

論文地址：https://arxiv.org/abs/1905.12866

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

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

論文地址：https://arxiv.org/abs/1906.08340

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

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

論文地址：https://arxiv.org/abs/1905.06933

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

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

論文地址：https://arxiv.org/abs/1906.03008

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

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

論文地址：https://arxiv.org/abs/1906.06893

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

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

論文地址：https://arxiv.org/abs/1906.03158

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

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

論文地址：https://arxiv.org/abs/1905.08704

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

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

論文地址：https://arxiv.org/abs/1906.06893

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

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

論文地址：https://arxiv.org/abs/1906.02622

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

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

論文地址：https://arxiv.org/abs/1802.07459

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

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

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

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

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

論文地址：https://arxiv.org/abs/1906.07220

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

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

論文地址：https://arxiv.org/abs/1906.06127

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

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

論文地址：https://arxiv.org/abs/1906.07510

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

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

論文地址：https://arxiv.org/abs/1906.00565

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

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

論文地址：https://arxiv.org/abs/1906.07689

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

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

論文地址：https://arxiv.org/abs/1906.02780

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

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

論文地址：https://arxiv.org/abs/1906.02900

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

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

論文地址：https://arxiv.org/abs/1905.08743

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

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

論文地址：https://arxiv.org/abs/1906.03221

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

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

論文地址：https://arxiv.org/abs/1906.01749

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

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

論文地址：https://arxiv.org/abs/1906.02242

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

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

論文地址：https://arxiv.org/abs/1905.05460

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

圖文直播預告

AI 研習社將在ACL 2019期間進行圖文直播，掃碼即可進入，敬請期待！

喜歡這篇文章嗎？立刻分享出去讓更多人知道吧！