欢迎关注语言智能技术笔记簿微信公众号

导读：人工智能领域顶级会议AAAI 2020持续火爆，共收到有效论文投稿8843篇，其中7737篇论文进入评审环节，最终收录1591篇，收录率为 20.6%。较去年16.2%的收录率，投稿数多了将近1100篇，收录论文数量多了400多篇。本系列文章主要对今年录用的论文按照研究主题进行划分，为相关领域的爱好者们给予便利，省去检索论文的烦恼。本届会议中的优秀论文会在<一起读论文>栏目中进行详细解读，尽请关注！

文章目录

知识图谱篇（Knowledge Graph）
- Graph Completion
- Entity and Relation Learning and Extraction
- Graph Alignment
- Graph Embedding
- KBQA
- General/Other

知识图谱篇（Knowledge Graph）

Graph Completion

1322: Improving Entity Linking by Modeling Latent Entity Type Information
Shuang Chen; Jinpeng Wang; Feng Jiang; Chin-Yew Lin
Harbin Institute of Technology; Microsoft Research Asia;

3019: Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang; Jianyu Cai; Yongdong Zhang; Jie Wang
University of Science and Technology of China;

8971: Contextual Parameter Generation for Knowledge Graph Link Prediction
George Stoica; Otilia Stretcu; Anthony Platanios; Tom Mitchell; Barnabas Poczos
Carnegie Mellon University

9004: Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
Farzan Masrour; Tyler Wilson; Pang-Ning Tan; Heng Yan; Abdol Esfahanian
Michigan State University

4420: LATTE: Latent Type Modeling for Biomedical Entity Linking
Ming Zhu; Busra Celikkaya; Parminder Bhatia; Chandan K Reddy
Virginia Tech; Amazon;

5535: A Recurrent Model for Collective Entity Linking with Adaptive Features
Xiaoling Zhou; Yukai Miao; Wei Wang; Jianbin Qin
University of New South Wales

6492: Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-level Supervision
Trapit Bansal; Patrick Verga; Neha Choudhary; Andrew McCallum
University of Massachusetts Amherst

8427: Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network
Xiaoxue Li; Yanmin Shang; Yanan Cao; Yangxi Li; Jianlong Tan; Yanbing Liu
Chinese Academy of Sciences

9347: Fine-Grained Entity Typing for Domain Independent Entity Linking
Yasumasa Onoe; Greg Durrett
University of Texas Austin

9502: Commonsense Knowledge Base Completion with Structural and Semantic Context
Chaitanya Malaviya; Chandra Bhagavatula; Antoine Bosselut; Yejin Choi
Allen Institute for Artificial Intelligence; University of Washington

9358: Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel; Seyed Mehran Kazemi; Marcus Brubaker; Pascal Poupart
Borealis AI

2278: Few-Shot Knowledge Graph Completion
Chuxu Zhang; Huaxiu Yao; Chao Huang; Meng Jiang; Zhenhui (Jessie) Li; Nitesh Chawla
University of Notre Dame; Pennsylvania State University;

4020: ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
Feihu Che; Dawei Zhang; Jianhua Tao; Mingyue Niu; Bocheng Zhao
Chinese Academy of Sciences; University of Chinese Academy of Sciences;

6756: Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
Zhao Zhang; Fuzhen Zhuang; Hengshu Zhu; Zhiping Shi; Hui Xiong; Qing He
Chinese Academy of Sciences; Baidu Inc.; Capital Normal University; The State University of New Jersey

Entity and Relation Learning and Extraction

3203: Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
Yang Li; Guodong Long; Tao Shen; Tianyi Zhou; Lina Yao; Huan Huo; Jing Jiang
University of Technology Sydney; University of Washington; University of New South Wales;

3868: Improving Neural Relation Extraction with Positive and Unlabeled Learning
Zhengqiu He; Wenliang Chen; Yuyi Wang; Wei Zhang; Guanchun Wang; Min Zhang
Soochow University; ETH Zurich; Laiye Startup;

133: Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
Yu-Ming Shang; Heyan Huang; Xian-Ling Mao; Xin Sun; Wei Wei
Bit; Beijing Institute of Technology; Huazhong University of Science and Technology

4412: CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
Daojian Zeng; Haoran Zhang; Qianying Liu
Changsha University of Science and Technology; University of Illinois Urbana-Champaign; Kyoto University

5816: Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph
Kai Sun; Richong Zhang; Yongyi Mao; Samuel Mensah; Xudong Liu
Beihang University; University of Ottawa;

5895: Relation Extraction Exploiting Full Dependency Forests
Lifeng Jin; Linfeng Song; Yue Zhang; Kun Xu; Wei-yun Ma; Dong Yu
The Ohio State University; Tencent; Westlake University; Academia Sinica

6937: Multi-view Consistency for Relation Extraction via Mutual Information and Structure Prediction
Amir Pouran Ben Veyseh; Franck Dernoncourt; My Thai; Dejing Dou; Thien Nguyen
University of Oregon; Adobe Research; University of Florida

7408: Distilling Knowledge from Well-informed Soft Labels for Neural Relation Extraction
Zhenyu Zhang; Xiaobo Shu; Bowen Yu; Tingwen Liu; Jiapeng Zhao; Quangang Li; Li Guo
Chinese Academy of Sciences; University of Chinese Academy of Sciences

7540: Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model
Ya Xiao; Chengxiang Tan; Zhijie Fan; Qian Xu; Wenye Zhu
Tongji University; The Third Research Institute of the Ministry of Public Security

7819: Integrating Relation Constraints with Neural Relation Extractors
Yuan Ye; Yansong Feng; Bingfeng Luo; Yuxuan Lai; Dongyan Zhao
Peking University

10036: Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
Tapas Nayak; Hwee Tou Ng
National University of Singapore

7793: Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Pengda Qin; Xin Wang; Wenhu Chen; Chunyun Zhang; Weiran Xu; William Yang Wang
Beijing University of Posts and Telecommunications; University of California, Santa Barbara; Shandong University of Finance and Economics

4433: Neural Snowball for Few-Shot Relation Learning
Tianyu Gao; Xu Han; Ruobing Xie; Zhiyuan Liu; Fen Lin; Leyu Lin; Maosong Sun
Tsinghua University; Tencent

Graph Alignment

3162: Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
Zequn Sun; Chengming Wang; Wei Hu; Muhao Chen; Jian Dai; Wei Zhang; Yuzhong Qu
Nanjing University; University of Pennsylvania; Alibaba Group;

7248: Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Kun Xu; Linfeng Song; Yansong Feng; Yan Song; Dong Yu
Tencent AI Lab; Peking University

8586: COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment
Kai Yang; Shaoqin Liu; Junfeng Zhao; Yasha Wang; Bing Xie
Peking University

Graph Embedding

8986: InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth; Soumya Sanyal; Vikram Nitin; Nilesh Agrawal; Partha Talukdar
Indian Institute of Science; Columbia University;

4560: Rule-Guided Compositional Representation Learning on Knowledge Graphs
Guanglin Niu; Yongfei Zhang; Bo Li; Peng Cui; Si Liu; Jingyang Li; Xiaowei Zhang
Beihang University; Tsinghua University; Qingdao University

4000: Learning Triple Embeddings from Knowledge Graphs
Valeria Fionda; Giuseppe Pirrò
DeMACs; University of Calabria; University of Rome “La Sapienza”

KBQA

3419: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
Yawei Sun; Lingling Zhang; Gong Cheng; Yuzhong Qu
Nanjing University

3330: Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Shangwen Lv; Daya Guo; Jingjing Xu; Duyu Tang; Nan Duan; Ming Gong; Linjun Shou; Daxin Jiang; Guihong Cao; Songlin Hu
Chinese Academy of Sciences; Sun-Yat Sen University; Peking University; Microsoft Research;

General/Other

10313: GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks
Bing Li; Wei Wang; Yifang Sun; Linhan Zhang; Muhammad Asif Ali; Yi Wang
University of New South Wales; Dongguan University of Technology

2775: Reasoning on Knowledge Graphs with Debate Dynamics
Marcel Hildebrandt; Jorge Andres Quintero Serna; Yunpu Ma; Martin Ringsquandl; Mitchell Joblin; Volker Tresp
Siemens; Ludwig Maximilian University of Munich

5161: Knowledge Graph Transfer Network for Few-Shot Recognition
Riquan Chen; Tianshui Chen; Xiaolu Hui; Hefeng Wu; Guanbin Li; Liang Lin
Sun Yat-Sen University; DarkMatter AI

想要了解更多的自然语言处理最新进展、技术干货及学习教程，欢迎关注微信公众号“语言智能技术笔记簿”或扫描二维码添加关注。

请查收！顶会AAAI 2020录用论文之知识图谱篇相关推荐

请查收！顶会AAAI 2020录用论文之自然语言处理篇
文章目录自然语言处理篇(NLP) Question Answering Sequence Labeling Semantics and Summari ...
顶会速递 | ICLR 2020录用论文之自然语言处理篇
抽空为大家整理了人工智能顶会ICLR 2020录用的自然语言处理相关的最新论文,内容涉及到知识图谱.语言建模.文本生成.机器翻译等热门领域,还有几篇关于BERT.Transformer模型优化的文章. ...
顶会速递 | ICLR 2020录用论文之元学习篇
抽空为大家整理了人工智能顶会ICLR 2020录用的Meta learning 元学习相关的最新论文,感兴趣的朋友们赶紧Mark读起来吧! [1]. Meta-Q-Learning 链接 | http ...
顶会速递 | ICLR 2020录用论文之图神经网络篇
抽空为大家整理了人工智能顶会ICLR 2020录用的图神经网络相关的最新论文,大牛论文非常多,感兴趣的朋友们赶紧Mark读起来吧! Composition-based Multi-Relational ...
顶会速递 | ICLR 2020录用论文全集
由深度学习三巨头Yoshua Bengio和Yann LeCun牵头创办的人工智能顶会ICLR今年最终收到2594篇投稿,共687篇论文被接收,其中48篇orals,108篇spotlights,53 ...
AAAI 2020 开源论文 | 可建模语义分层的知识图谱补全方法
©PaperWeekly · 作者|蔡健宇学校|中国科学技术大学研究方向|知识图谱近些年,知识图谱(Knowledge Graph)在自然语言处理.问答系统.推荐系统等诸多领域取得了广泛且成功的 ...
AAAI 2020 开源论文 | 一种针对图嵌入模型的受限黑盒对抗攻击框架
AAAI(人工智能促进协会年会)是人工智能领域的顶级国际会议之一.今年的 AAAI 2020 是第 34 届,于 2 月 7 日至 12 日在美国纽约举行.今年,第 3 次参会的腾讯 AI Lab 共 ...
AAAI 2020 开源论文 | 语义感知BERT（SemBERT）
作者丨张倬胜学校丨上海交通大学硕士生研究方向丨自然语言理解本文从计算语言学角度,提出使用显性语义角色信息来改善深度语言模型的建模性能,将语义角色标注用于机器阅读理解和推理任务中,提供更加丰富和精 ...
自然语言处理顶会COLING 2020最佳论文等三项大奖出炉 | AI日报
自然语言处理顶会COLING 2020最佳论文等三项大奖出炉 12月8日至13日,第28届国际计算语言学会议(COLING 2020)在线上正式举行. 计算语言学国际会议COLING 2020(是计算 ...

请查收！顶会AAAI 2020录用论文之知识图谱篇