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ACL 2019 27 篇论文实现代码(持续更新中)

本文作者:AI研习社 2019-07-24 11:34 专题:ACL 2019
导语: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

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:http://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~

ACL 2019 27 篇论文实现代码(持续更新中)

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。

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ACL 2019 27 篇论文实现代码(持续更新中)
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