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| 本文作者： AI研習社 | 2019-07-24 11:34 | 專題：ACL 2019 |
ACL 2019 將于今年 7月28日-8月2日 在意大利佛羅倫薩舉行，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，官方鏈接：http://www.acl2019.org/EN/program/papers.xhtml
但是官網沒有公布鏈接，部分論文也沒有展示出來。
所以AI研習社給大家整理了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：
27.《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
26.《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
25.《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
24.《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
23.《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
22.《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
21.《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
20.《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
19.《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
18.《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
17.《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
16.《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
15.《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
14.《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
13.《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
12.《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
11.《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
10.《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
9.《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
8.《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
7.《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
6.《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
5.《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
4.《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
3.《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
2.《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
1.《Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases》(NAACL 2019)
論文地址：https://arxiv.org/abs/1903.02188
GitHub地址：https://github.com/hugochan/BAMnet
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