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Automatic assessment of the quality of scholarly documents is a difficult task with high potential impact.
To tune or not to tune? adapting pretrained representations to diverse tasks
Matthew E. Peters, Sebastian Ruder, and Noah A. Smith. 2019 · 1903
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Robustness in the strategy of scientific model building
G.E.P. Box. 1979 · 1979
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Mathematical Statistics
K. Knight. 1999 · 1999
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Citations and the zipf-mandelbrot’s law
Zurab Silagadze. 1999 · 1999
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Modern Mathematical Statistics with Applications
J.L. Devore and K.N. Berk. 2011 · 2011
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Transforming auto-encoders
Geoffrey E. Hinton, Alex Krizhevsky, and Sida D. Wang. 2011 · 2011
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Facing imbalanced data–recommendations for the use of performance metrics
László A. Jeni, Jeffrey F. Cohn, and Fernando De La Torre. 2013 · 2013
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How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014 · 2014
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The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets
Takaya Saito and Marc Rehmsmeier. 2015 · 2015
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Yukun Zhu, Ryan Kiros, Richard Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
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pdf2image
Edouard Belval. 2017 · 2017
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Supervised learning of universal sentence representations from natural language inference data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes. 2017 · 2017
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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Daniel Matthew Cer, Yinfei Yang, Sheng yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, C. Tar, Yun-Hsuan Sung, B. Strope, and R. Kurzweil. 2018 · 2018
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Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
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A dataset of peer reviews (peerread): Collection, insights and NLP applications
Specter: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S Weld. 2020 · 2020
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Schubert: Scholarly document chunks with bert-encoding boost citation count prediction
Thomas van Dongen, Gideon Maillette de Buy Wenniger, and Lambert Schomaker. 2020 · 2020
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NwQM: A neural quality assessment framework for Wikipedia
Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, and Animesh Mukherjee. 2020 · 2020
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Nwqm: A neural quality assessment framework for wikipedia
Bhanu Prakash Reddy, Sasi Bhusan, Soumya Sarkar, and Animesh Mukherjee. 2020 · 2020
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A multimodal approach to assessing document quality
A. Shen, B. Salehi, J. Qi, and T. Baldwin. 2020 · 2020
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Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard H. Hovy, and Roy Schwartz. 2018 · 2018
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Automatic academic paper rating based on modularized hierarchical convolutional neural network
Pengcheng Yang, Xu Sun, Wei Li, and Shuming Ma. 2018 · 2018
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Scibert: Pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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Bert for coreference resolution: Baselines and analysis
Mandar Joshi, Omer Levy, Daniel S. Weld, and Luke Zettlemoyer. 2019 · 2019
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A neural citation count prediction model based on peer review text
Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, and Ji-Rong Wen. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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A joint model for multimodal document quality assessment
Aili Shen, Bahar Salehi, Timothy Baldwin, and Jianzhong Qi. 2019 · 2019
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Structure-tags improve text classification for scholarly document quality prediction
Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch, Edwin A. Valentijn, and Lambert Schomaker. 2020 · 2020
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Quality prediction of scientific documents using textual and visual content
Thomas van Dongen. 2021 · 2021
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Interpretable aspect-aware capsule network for peer review based citation count prediction
Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, and Ji-Rong Wen. 2021 · 2021
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Automated scholarly paper review: Technologies and challenges
Jialiang Lin, Jiaxin Song, Zhangping Zhou, Yidong Chen, and Xiaodong Shi. 2021 · 2021
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Multimodal classification: Current landscape, taxonomy and future directions
William C. Sleeman Iv, Rishabh Kapoor, and Preetam Ghosh. 2022 · 2022
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Neighborhood contrastive learning for scientific document representations with citation embeddings
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, and Georg Rehm. 2022 · 2022
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Scirepeval: A multi-format benchmark for scientific document representations
Amanpreet Singh, Mike D’Arcy, Arman Cohan, Doug Downey, and Sergey Feldman. 2022 · 2022
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On over-fitting in model selection and subsequent selection bias in performance evaluation
Gavin C. Cawley and Nicola L. C. Talbot. 2010 · 2079
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