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Prevalent models based on artificial neural network (ANN) for sentence classification often classify sentences in isolation without considering the context in which sentences appear.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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The Viterbi algorithm
G David Forney. 1973 · 1973
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American national standard for writing abstracts (ansi z39. 14-1979)
American National Standards Institute. 1979 · 1979
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Categorization of sentence types in medical abstracts
Larry McKnight and Padmini Srinivasan. 2003 · 2003
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A sentence classification system for multi biomedical literature summarization
Yasunori Yamamoto and Toshihisa Takagi. 2005 · 2005
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Generative content models for structural analysis of medical abstracts
Jimmy Lin, Damianos Karakos, Dina Demner-Fushman, and Sanjeev Khudanpur. 2006 · 2006
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Using argumentation to extract key sentences from biomedical abstracts
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Identifying sections in scientific abstracts using conditional random fields
Kenji Hirohata, Naoaki Okazaki, Sophia Ananiadou, and Mitsuru Ishizuka. 2008 · 2008
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Sentence retrieval for abstracts of randomized controlled trials
Grace Y Chung. 2009 · 2009
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Article 50 million: an estimate of the number of scholarly articles in existence
Arif E Jinha. 2010 · 2010
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Automatic classification of sentences to support evidence based medicine
Su Nam Kim, David Martinez, Lawrence Cavedon, and Lars Yencken. 2011 · 2011
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Overview of the alta 2012 shared task
Iman Amini, David Martinez, Diego Molla, et al. 2012 · 2012
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Feature stacking for sentence classification in evidence-based medicine
Marco Lui. 2012 · 2012
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Abstract sentence classification for scientific papers based on transductive svm
Yuanchao Liu, Feng Wu, Ming Liu, and Bingquan Liu. 2013 · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Distributional semantics resources for biomedical text processing
SPFGH Moen and Tapio Salakoski2 Sophia Ananiadou. 2013 · 2013
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Identifying scientific artefacts in biomedical literature: The evidence based medicine use case
Hamed Hassanzadeh, Tudor Groza, and Jane Hunter. 2014 · 2014
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Neural networks for joint sentence classification in medical paper abstracts
Franck Dernoncourt, Ji Young Lee, and Peter Szolovits. 2016 · 2016
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2016 · 2016
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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Sequential short-text classification with recurrent and convolutional neural networks
Ji Young Lee and Franck Dernoncourt. 2016 · 2016
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Recurrent neural network for text classification with multi-task learning
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Yoon Kim. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Recurrent convolutional neural networks for text classification
Siwei Lai, Liheng Xu, Kang Liu, and Jun Zhao. 2015 · 2015
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Dependency-based convolutional neural networks for sentence embedding
Mingbo Ma, Liang Huang, Bing Xiang, and Bowen Zhou. 2015 · 2015
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The STM report: An overview of scientific and scholarly journal publishing
Mark Ware and Michael Mabe. 2015 · 2015
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Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016 · 2016
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Pengfei Liu, Xipeng Qiu, and Xuanjing Huang. 2016 · 2016
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Dropout with expectation-linear regularization
Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, and Eduard Hovy. 2016 · 2016
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Dependency sensitive convolutional neural networks for modeling sentences and documents
Rui Zhang, Honglak Lee, and Dragomir Radev. 2016 · 2016
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Very deep convolutional networks for text classification
Alexis Conneau, Holger Schwenk, Loïc Barrault, and Yann Lecun. 2017 · 2017
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Pubmed 200k rct: a dataset for sequential sentence classification in medical abstracts
Franck Dernoncourt and Ji Young Lee. 2017 · 2017
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Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
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A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts
David Westergaard, Hans-Henrik Stærfeldt, Christian Tønsberg, Lars Juhl Jensen, and Søren Brunak. 2018 · 2018
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