Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction
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Lambert Schomaker | Edwin A. Valentijn | Eleri Aedmaa | Gideon Maillette de Buy Wenniger | Herbert Teun Kruitbosch | Thomas van Dongen | E. Valentijn | L. Schomaker | G. M. D. B. Wenniger | Eleri Aedmaa | H. T. Kruitbosch
[1] Nemanja Spasojevic,et al. Actionable and Political Text Classification using Word Embeddings and LSTM , 2016, ArXiv.
[2] Yoshua Bengio,et al. Hierarchical Recurrent Neural Networks for Long-Term Dependencies , 1995, NIPS.
[3] Stevan Harnad,et al. Earlier Web Usage Statistics as Predictors of Later Citation Impact , 2005, J. Assoc. Inf. Sci. Technol..
[4] Lawrence D. Fu,et al. Models for Predicting and Explaining Citation Count of Biomedical Articles , 2008, AMIA.
[5] Kyle Lo,et al. S2ORC: The Semantic Scholar Open Research Corpus , 2020, ACL.
[6] Rico Sennrich,et al. Linguistic Input Features Improve Neural Machine Translation , 2016, WMT.
[7] Z. K. Silagadze,et al. Citations and the Zipf-Mandelbrot Law , 1999, Complex Syst..
[8] Concha Bielza,et al. Predicting citation count of Bioinformatics papers within four years of publication , 2009, Bioinform..
[9] Bhavana Dalvi,et al. A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications , 2018, NAACL.
[10] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[11] Timothy Baldwin,et al. A Hybrid Model for Quality Assessment of Wikipedia Articles , 2017, ALTA.
[12] Lizhen Xu,et al. Modularized and Attention-Based Recurrent Convolutional Neural Network for Automatic Academic Paper Aspect Scoring , 2018, WISA.
[13] Timothy Baldwin,et al. A Joint Model for Multimodal Document Quality Assessment , 2019, 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL).
[14] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Phil Blunsom,et al. Reasoning about Entailment with Neural Attention , 2015, ICLR.
[16] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[17] Jürgen Schmidhuber,et al. Highway Networks , 2015, ArXiv.
[18] Sepp Hochreiter,et al. The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions , 1998, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[19] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[20] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[21] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[22] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[23] Martin Wattenberg,et al. Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation , 2016, TACL.
[24] Ji-Rong Wen,et al. A Neural Citation Count Prediction Model based on Peer Review Text , 2019, EMNLP.
[25] Barbara Plank,et al. CiteTracked: A Longitudinal Dataset of Peer Reviews and Citations , 2019, BIRNDL@SIGIR.
[26] Sadegh Aliakbary,et al. Predicting citation counts based on deep neural network learning techniques , 2018, J. Informetrics.
[27] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.
[28] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.