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In this paper, we classify scientific articles in the domain of natural language processing (NLP) and machine learning (ML), as core subfields of artificial intelligence (AI), into whether (i) they extend the current state-of-the-art by the introduction of novel techniques which beat existing models or whether (ii) they mainly criticize the existing state-of-the-art, i.e.
The generalisation of student’s problems when several different population variances are involved
B. L. Welch. 1947 · 1947
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The Technique of Clear Writing
Robbie Gunning. 1952 · 1952
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Use of ranks in one-criterion variance analysis
William H. Kruskal and W. Allen Wallis. 1952 · 1952
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Language as choice and chance
Gustav Herdan. 1960 · 1960
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A model of growth through creative destruction
Philippe Aghion and Peter Howitt. 1990 · 1990
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met*: A method for discriminating metonymy and metaphor by computer
Dan Fass. 1991 · 1991
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Accurate methods for the statistics of surprise and coincidence
Ted Dunning. 1993 · 1993
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Why the social sciences won’t become high-consensus, rapid-discovery science
Randall Collins. 1994 · 1994
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Predicative NPs and the annotation of reference chains
Kaja Borthen. 2004 · 2004
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Machine translation using probabilistic synchronous dependency insertion grammars
Yuan Ding and Martha Palmer. 2005 · 2005
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Automatic classification of citation function
Simone Teufel, Advaith Siddharthan, and Dan Tidhar. 2006 · 2006
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Avoiding another ai winter
James Hendler. 2008 · 2008
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From extractive to abstractive meeting summaries: Can it be done by sentence compression?
Fei Liu and Yang Liu. 2009 · 2009
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Tackling sparse data issue in machine translation evaluation
Ondřej Bojar, Kamil Kos, and David Mareček. 2010 · 2010
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How to write a good abstract for a scientific paper or conference presentation
Chittaranjan Andrade. 2011 · 2011
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Citation count prediction: learning to estimate future citations for literature
Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, and Xiaoming Li. 2011 · 2011
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Consensus problems on networks with antagonistic interactions
Claudio Altafini. 2012 · 2012
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Context-enhanced citation sentiment detection
Awais Athar and Simone Teufel. 2012 · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012 · 2012
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Purpose and polarity of citation: Towards NLP-based bibliometrics
Amjad Abu-Jbara, Jefferson Ezra, and Dragomir Radev. 2013 · 2013
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Norms of valence, arousal, and dominance for 13,915 english lemmas
Amy Beth Warriner, Victor Kuperman, and Marc Brysbaert. 2013 · 2013
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Scaling laws and fluctuations in the statistics of word frequencies
Martin Gerlach and Eduardo G. Altmann. 2014 · 2014
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Vader: A parsimonious rule-based model for sentiment analysis of social media text
C. Hutto and Eric Gilbert. 2014 · 2014
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The incidence and role of negative citations in science
Christian Catalini, Nicola Lacetera, and Alexander Oettl. 2015 · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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The advantage of short paper titles
Adrian Letchford, Helen Susannah Moat, and Tobias Preis. 2015 · 2015
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Opinion dynamics and wisdom under out-group discrimination
Steffen Eger. 2016 · 2016
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Product classification in E-commerce using distributional semantics
Vivek Gupta, Harish Karnick, Ashendra Bansal, and Pradhuman Jhala. 2016 · 2016
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Predicting the rise and fall of scientific topics from trends in their rhetorical framing
Vinodkumar Prabhakaran, William L. Hamilton, Dan McFarland, and Dan Jurafsky. 2016 · 2016
Cited alongside, same era.
Impact of lexical and sentiment factors on the popularity of scientific papers
Julian Sienkiewicz and Eduardo G Altmann. 2016 · 2016
Cited alongside, same era.
An analysis of action recognition datasets for language and vision tasks
Spandana Gella and Frank Keller. 2017 · 2017
Context-aware embedding for targeted aspect-based sentiment analysis
Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, and Hejiao Huang. 2019 · 2019
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Troubling trends in machine learning scholarship: Some ml papers suffer from flaws that could mislead the public and stymie future research
Zachary C. Lipton and Jacob Steinhardt. 2019 · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
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Probing neural network comprehension of natural language arguments
Timothy Niven and Hung-Yu Kao. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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Dealing with the positive publication bias: Why you should really publish your negative results
Ana Mlinarić, Martina Horvat, and Vesna Šupak Smolčić. 2017 · 2017
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Reporting score distributions makes a difference: Performance study of lstm-networks for sequence tagging
Nils Reimers and Iryna Gurevych. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Science of science
Santo Fortunato, Carl T Bergstrom, Katy Börner, James A Evans, Dirk Helbing, Staša Milojević, Alexander M Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, et al. 2018 · 2018
Cited alongside, same era.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Cited alongside, same era.
Measuring the evolution of a scientific field through citation frames
David Jurgens, Srijan Kumar, Raine Hoover, Dan McFarland, and Dan Jurafsky. 2018 · 2018
Cited alongside, same era.
A survey on sentiment analysis of scientific citations
Abdallah Yousif, Zhendong Niu, John K Tarus, and Arshad Ahmad. 2019 · 2019
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Self-correction of science: a comparative study of negative citations and post-publication peer review
Frederique Bordignon. 2020 · 2020
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Application of deep learning in ecological resource research: Theories, methods, and challenges
Qinghua Guo, Shichao Jin, Min Li, Qiuli Yang, Kexin Xu, Yuanzhen Ju, Jing Zhang, Jing Xuan, Jin Liu, Yanjun Su, et al. 2020 · 2020
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Machine learning with oversampling and undersampling techniques: Overview study and experimental results
Roweida Mohammed, Jumanah Rawashdeh, and Malak Abdullah. 2020 · 2020
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ReviewRobot: Explainable paper review generation based on knowledge synthesis
Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, and Nazneen Fatema Rajani. 2020 · 2020
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The coefficient of determination r-squared is more informative than smape, mae, mape, mse and rmse in regression analysis evaluation
Davide Chicco, Matthijs J Warrens, and Giuseppe Jurman. 2021 · 2021
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Bert & family eat word salad: Experiments with text understanding
Ashim Gupta, Giorgi Kvernadze, and Vivek Srikumar. 2021 · 2021
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The use of citation context to detect the evolution of research topics: a large-scale analysis
Chaker Jebari, Enrique Herrera-Viedma, and Manuel Jesus Cobo. 2021 · 2021
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Meta-research: Investigating disagreement in the scientific literature
Wout S Lamers, Kevin Boyack, Vincent Larivière, Cassidy R Sugimoto, Nees Jan van Eck, Ludo Waltman, and Dakota Murray. 2021 · 2021
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Mind the gap: Assessing temporal generalization in neural language models
Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d’Autume, Tomáš Kočiský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, and Phil Blunsom. 2021 · 2021
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Scientific credibility of machine translation research: A meta-evaluation of 769 papers
Benjamin Marie, Atsushi Fujita, and Raphael Rubino. 2021 · 2021
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Measuring sentence-level and aspect-level (un)certainty in science communications
Jiaxin Pei and David Jurgens. 2021 · 2021
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CiteWorth: Cite-worthiness detection for improved scientific document understanding
Dustin Wright and Isabelle Augenstein. 2021 · 2021
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Can we automate scientific reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig. 2021 · 2021
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The dangers of underclaiming: Reasons for caution when reporting how NLP systems fail
Samuel Bowman. 2022 · 2022
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Reproducibility issues for bert-based evaluation metrics
Yanran Chen, Jonas Belouadi, and Steffen Eger. 2022 · 2022
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More than a feeling: Accuracy and application of sentiment analysis
Jochen Hartmann, Mark Heitmann, Christian Siebert, and Christina Schamp. 2022 · 2022
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MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, and Kyle Lo. 2022 · 2022
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DominikBeese/DidAIGetMoreNegativeRecently: Initial release
Dominik Beese. 2023 · 2023
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