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Identifying scientific publications that are within a dynamic field of research often requires costly annotation by subject-matter experts.
On the use of arxiv as a dataset
Colin B Clement, Matthew Bierbaum, Kevin P O’Keeffe, and Alexander A Alemi. 2019 · 1905
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What is artificial intelligence anyway? as the techniques of computing grow more sophisticated, machines are beginning to appear intelligent—but can they actually think?
Raymond Kurzweil. 1985 · 1985
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What is ai, anyway?
Roger C Schank. 1987 · 1987
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Data search strategy for science and technology emergence: A scalable and evolutionary query for nanotechnology tracking
Andrei Mogoutov and Bernard Kahane. 2007 · 2007
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Artificial intelligence a modern approach
Stuart J Russell. 2010 · 2010
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Global research on artificial intelligence from 1990–2014: Spatially-explicit bibliometric analysis
Jiqiang Niu, Wenwu Tang, Feng Xu, Xiaoyan Zhou, and Yanan Song. 2016 · 2014
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An overview of microsoft academic service (mas) and applications
Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015 · 2015
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Machine learning: the new AI
Ethem Alpaydin. 2016 · 2016
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Long-term trends in the public perception of artificial intelligence
Ethan Fast and Eric Horvitz. 2017 · 2017
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Exploring the fundamental conceptual units of technical emergence
Arho Suominen and Nils C Newman. 2017 · 2017
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An ai race for strategic advantage: rhetoric and risks
Stephen Cave and Seán S ÓhÉigeartaigh. 2018 · 2018
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When will ai exceed human performance? evidence from ai experts
Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, and Owain Evans. 2018 · 2018
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The facets of artificial intelligence: A framework to track the evolution of ai
Fernando Martınez-Plumed, Bao Sheng Loe, Peter Flach, Seán O hEigeartaigh, Karina Vold, and José Hernández-Orallo. 2018 · 2018
Cited alongside, same era.
Analyses of the technological accumulation over the 2 nd and the 3 rd ai boom and the issues related to ai adoption by firms
Kumiko Miyazaki and Ryusuke Sato. 2018 · 2018
Cited alongside, same era.
A web-scale system for scientific knowledge exploration
Zhihong Shen, Hao Ma, and Kuansan Wang. 2018 · 2018
Cited alongside, same era.
Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)
Amit K Shukla, Manvendra Janmaijaya, Ajith Abraham, and Pranab K Muhuri. 2019 · 2018
Cited alongside, same era.
How artificial intelligence is transforming the world
Darrell M West and John R Allen. 2018 · 2018
Cited alongside, same era.
The ai index 2021 annual report
Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson, John Etchemendy, Deep Ganguli, Barbara Grosz, Terah Lyons, James Manyika, Juan Carlos Niebles, Michael Sellitto, et al. 2021 · 2021
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On the origin of hallucinations in conversational models: Is it the datasets or the models?
Nouha Dziri, Sivan Milton, Mo Yu, Osmar Zaiane, and Siva Reddy. 2022 · 2022
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A systematic method to create search strategies for emerging technologies based on the web of science: illustrated for ‘big data’
Ying Huang, Jannik Schuehle, Alan L Porter, and Jan Youtie. 2015 · 2022
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Openalex: A fully-open index of scholarly works, authors, venues, institutions, and concepts
Jason Priem, Heather Piwowar, and Richard Orr. 2022 · 2022
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Ai for ai: Using ai methods for classifying ai science documents
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Cited alongside, same era.
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S. Weld. 2020 · 2020
Cited alongside, same era.
Defining ai in policy versus practice
PM Krafft, Meg Young, Michael Katell, Karen Huang, and Ghislain Bugingo. 2020 · 2020
Cited alongside, same era.
Bibliometric analysis on tendency and topics of artificial intelligence over last decade
Fang Gao, Xiaofeng Jia, Zhiyun Zhao, Chih-Cheng Chen, Feng Xu, Zhe Geng, and Xiaotong Song. 2021 · 2021
Cited alongside, same era.
There is no ai without data
Christoph Gröger. 2021 · 2021
Cited alongside, same era.
Multi-label classification of research articles using word2vec and identification of similarity threshold
Ghulam Mustafa, Muhammad Usman, Lisu Yu, Muhammad Tanvir Afzal, Muhammad Sulaiman, and Abdul Shahid. 2021 · 2021
Cited alongside, same era.
Want to reduce labeling cost? GPT-3 can help
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, and Michael Zeng. 2021 · 2021
Cited alongside, same era.
Evi Sachini, Konstantinos Sioumalas-Christodoulou, Stefanos Christopoulos, and Nikolaos Karampekios. 2022 · 2022
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Multi-label classification of scientific research documents across domains and languages
Autumn Toney and James Dunham. 2022 · 2022
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A brief history of artificial intelligence: what it is, where we are, and where we are going
Micheal Woolridge. 2022 · 2022
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Chatgpt outperforms crowd workers for text-annotation tasks
Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli. 2023 · 2023
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
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Can chatgpt understand causal language in science claims?
Yuheun Kim, Lu Guo, Bei Yu, and Yingya Li. 2023 · 2023
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OpenAI. 2023 · 2023
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