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In pace with developments in the research field of artificial intelligence, knowledge graphs (KGs) have attracted a surge of interest from both academia and industry.
Preprogramming for mechanical translation
R. H. Richens. 1956 · 1956
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A coefficient of agreement for nominal scales
Jacob Cohen. 1960 · 1960
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A Notation for Representing Conceptual Information: an Application to Semantics and Mechanical English Paraphrasing
Ross Quillian. 1963 · 1963
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Retrieval time from semantic memory
Allan M. Collins and M. Ross Quillian. 1969 · 1969
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Mapping text to knowledge graph entities using multi-sense LSTMs
Dimitri Kartsaklis, Mohammad Taher Pilehvar, and Nigel Collier. 2018 · 1970
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Writing good software engineering research papers
Mary Shaw. 2003 · 2003
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Requirements engineering paper classification and evaluation criteria: a proposal and a discussion
Roel Wieringa, Neil Maiden, Nancy Mead, and Colette Rolland. 2006 · 2006
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A survey on application of knowledge graph
Xiaohan Zou. 2020 · 2006
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A survey on complex question answering over knowledge base: Recent advances and challenges
Bin Fu, Yunqi Qiu, Chengguang Tang, Yang Li, Haiyang Yu, and Jian Sun. 2020 · 2007
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Multimodal named entity disambiguation for noisy social media posts
Seungwhan Moon, Leonardo Neves, and Vitor Carvalho. 2018 · 2008
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Systematic mapping studies in software engineering
Kai Petersen, Robert Feldt, Shahid Mujtaba, and Michael Mattsson. 2008 · 2008
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Introducing the knowledge graph: Things, not strings
Amit Singhal. 2012 · 2012
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Knowledge graph identification
Jay Pujara, Hui Miao, Lise Getoor, and William Cohen. 2013 · 2013
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A survey of graphs in natural language processing
Vivi Nastase, Rada Mihalcea, and Dragomir R Radev. 2015 · 2015
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Constraint-based question answering with knowledge graph
Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, and Tiejun Zhao. 2016 · 2016
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Semantic search on text and knowledge bases
Hannah Bast, Björn Buchhold, Elmar Haussmann, et al. 2016 · 2016
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Towards a definition of knowledge graphs
Lisa Ehrlinger and Wolfram Wöß. 2016 · 2016
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Framester: A wide coverage linguistic linked data hub
Aldo Gangemi, Mehwish Alam, Luigi Asprino, Valentina Presutti, and Diego Reforgiato Recupero. 2016 · 2016
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A review of relational machine learning for knowledge graphs
Maximilian Nickel, Kevin Murphy, Volker Tresp, and Evgeniy Gabrilovich. 2016 · 2016
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Building event-centric knowledge graphs from news
Marco Rospocher, Marieke van Erp, Piek Vossen, Antske Fokkens, Itziar Aldabe, German Rigau, Aitor Soroa, Thomas Ploeger, and Tessel Bogaard. 2016 · 2016
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Knowledge graph refinement: A survey of approaches and evaluation methods
Heiko Paulheim. 2017 · 2017
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Cross-sentence n-ary relation extraction with graph LSTMs
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. 2017 · 2017
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Generating natural language question-answer pairs from a knowledge graph using a RNN based question generation model
Sathish Reddy, Dinesh Raghu, Mitesh M. Khapra, and Sachindra Joshi. 2017 · 2017
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment
Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, and Carlo Zaniolo. 2018 · 2018
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Linked data quality of dbpedia, freebase, opencyc, wikidata, and yago
Michael Färber, Frederic Bartscherer, Carsten Menne, Achim Rettinger, Amrapali Zaveri, Dimitris Kontokostas, Sebastian Hellmann, and Jürgen Umbrich. 2018 · 2018
Cited alongside, same era.
Knowledge-enriched two-layered attention network for sentiment analysis
Abhishek Kumar, Daisuke Kawahara, and Sadao Kurohashi. 2018 · 2018
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Entity-aware image caption generation
Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, and Shih-Fu Chang. 2018 · 2018
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Proactive human-machine conversation with explicit conversation goal
Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian, and Haifeng Wang. 2019 · 2019
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Long-tail relation extraction via knowledge graph embeddings and graph convolution networks
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, and Huajun Chen. 2019a · 2019
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Named entity extraction for knowledge graphs: A literature overview
Tareq Al-Moslmi, Marc Gallofré Ocaña, Andreas L. Opdahl, and Csaba Veres. 2020 · 2020
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Scalable multi-hop relational reasoning for knowledge-aware question answering
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, and Xiang Ren. 2020 · 2020
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A Knowledge Graph-Aided Concept–Knowledge Approach for Evolutionary Smart Product–Service System Development
Xinyu Li, Chun-Hsien Chen, Pai Zheng, Zuoxu Wang, Zuhua Jiang, and Zhixing Jiang. 2020 · 2020
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Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Cited alongside, same era.
Boosting text classification performance on sexist tweets by text augmentation and text generation using a combination of knowledge graphs
Sima Sharifirad, Borna Jafarpour, and Stan Matwin. 2018 · 2018
Cited alongside, same era.
Open-world knowledge graph completion
Baoxu Shi and Tim Weninger. 2018 · 2018
Cited alongside, same era.
Label-free distant supervision for relation extraction via knowledge graph embedding
Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei Zhang, Hai Zhu, and Huajun Chen. 2018b · 2018
Cited alongside, same era.
Variational reasoning for question answering with knowledge graph
Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, and Le Song. 2018 · 2018
Cited alongside, same era.
Commonsense knowledge aware conversation generation with graph attention
Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. 2018 · 2018
Cited alongside, same era.
Constructing knowledge graphs and their biomedical applications
David N. Nicholson and Casey S. Greene. 2020 · 2020
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A re-evaluation of knowledge graph completion methods
Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar, and Yiming Yang. 2020 · 2020
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Microsoft Academic Graph: When experts are not enough
Kuansan Wang, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Yuxiao Dong, and Anshul Kanakia. 2020 · 2020
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Scalable zero-shot entity linking with dense entity retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer. 2020 · 2020
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Domain-specific knowledge graphs: A survey
Bilal Abu-Salih. 2021 · 2021
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Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, and Jens Lehmann. 2021 · 2021
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Topic analysis and development in knowledge graph research: A bibliometric review on three decades
Xieling Chen, Haoran Xie, Zongxi Li, and Gary Cheng. 2021 · 2021
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Combining pre-trained language models and structured knowledge
Pedro Colon-Hernandez, Catherine Havasi, Jason B. Alonso, Matthew Huggins, and Cynthia Breazeal. 2021 · 2021
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Semantics of the black-box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Manas Gaur, Keyur Faldu, and Amit Sheth. 2021 · 2021
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A review of the semantic web field
Pascal Hitzler. 2021 · 2021
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A survey on knowledge graphs: Representation, acquisition, and applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and S Yu Philip. 2021 · 2021
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Reproducibility in machine learning for health research: Still a ways to go
Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Luca Foschini, and Marzyeh Ghassemi. 2021 · 2021
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Relational World Knowledge Representation in Contextual Language Models: A Review
Tara Safavi and Danai Koutra. 2021 · 2021
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Structure-augmented text representation learning for efficient knowledge graph completion
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, and Yi Chang. 2021a · 2021
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The AI index 2021 annual report
Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson, John Etchemendy, Deep Ganguli, Barbara J. Grosz, Terah Lyons, James Manyika, Juan Carlos Niebles, Michael Sellitto, Yoav Shoham, Jack Clark, and C. Raymond Perrault. 2021 · 2021
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Retrieving and reading: A comprehensive survey on open-domain question answering
Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, and Tat-Seng Chua. 2021 · 2021
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Knowledge graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D’amato, Gerard De Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, and Antoine Zimmermann. 2022 · 2022
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