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Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is traditionally treated as a classification problem in NLP research.
Text as environment: A deep reinforcement learning text readability assessment model
Hamid Mohammadi and Seyed Hossein Khasteh. 2019 · 1912
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A method for measuring the vocabulary burden of textbooks
Bertha A Lively and Sidney L Pressey. 1923 · 1923
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A new readability yardstick
Rudolph Flesch. 1948 · 1948
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A training algorithm for optimal margin classifiers
Bernhard E Boser, Isabelle M Guyon, and Vladimir N Vapnik. 1992 · 1992
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Measuring reading comprehension with the lexile framework
A Jackson Stenner. 1996 · 1996
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Practical nonparametric statistics , volume 350
William Jay Conover. 1999 · 1999
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A statistical model for scientific readability
Luo Si and Jamie Callan. 2001 · 2001
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Language modeling by clustering with word embeddings for text readability assessment
Miriam Cha, Youngjune Gwon, and HT Kung. 2017 · 2006
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Automatic evaluation of information ordering: Kendall’s tau
Mirella Lapata. 2006 · 2006
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Unlocking language: The classic readability studies
William H DuBay. 2007 · 2007
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Combining lexical and grammatical features to improve readability measures for first and second language texts
Michael Heilman, Kevyn Collins-Thompson, Jamie Callan, and Maxine Eskenazi. 2007 · 2007
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An analysis of statistical models and features for reading difficulty prediction
Michael Heilman, Kevyn Collins-Thompson, and Maxine Eskenazi. 2008 · 2008
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Revisiting readability: A unified framework for predicting text quality
Emily Pitler and Ani Nenkova. 2008 · 2008
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Cognitively motivated features for readability assessment
Lijun Feng, Noémie Elhadad, and Matt Huenerfauth. 2009 · 2009
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A machine learning approach to reading level assessment
Sarah E Petersen and Mari Ostendorf. 2009 · 2009
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Sorting texts by readability
Kumiko Tanaka-Ishii, Satoshi Tezuka, and Hiroshi Terada. 2010 · 2010
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Read–it: Assessing readability of italian texts with a view to text simplification
Felice Dell’Orletta, Simonetta Montemagni, and Giulia Venturi. 2011 · 2011
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Scikit-learn: Machine learning in python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011 · 2011
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Common core standards: The new us intended curriculum
Andrew Porter, Jennifer McMaken, Jun Hwang, and Rui Yang. 2011 · 2011
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An “ai readability” formula for french as a foreign language
Thomas François and Cédrick Fairon. 2012 · 2012
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Readability classification for german using lexical, syntactic, and morphological features
Julia Hancke, Sowmya Vajjala, and Detmar Meurers. 2012 · 2012
Cited alongside, same era.
Characterizing web content, user interests, and search behavior by reading level and topic
Jin Young Kim, Kevyn Collins-Thompson, Paul N Bennett, and Susan T Dumais. 2012 · 2012
Cited alongside, same era.
Ranking-based readability assessment for early primary children’s literature
Yi Ma, Eric Fosler-Lussier, and Robert Lofthus. 2012 · 2012
Cited alongside, same era.
New readability measures for bangla and hindi texts
Manjira Sinha, Sakshi Sharma, Tirthankar Dasgupta, and Anupam Basu. 2012 · 2012
Cited alongside, same era.
On improving the accuracy of readability classification using insights from second language acquisition
Sowmya Vajjala and Detmar Meurers. 2012 · 2012
Cited alongside, same era.
Enriching word embeddings with domain knowledge for readability assessment
Zhiwei Jiang, Qing Gu, Yafeng Yin, and Daoxu Chen. 2018 · 2018
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Onestopenglish corpus: A new corpus for automatic readability assessment and text simplification
Sowmya Vajjala and Ivana Lučić. 2018 · 2018
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The lambdaloss framework for ranking metric optimization
Xuanhui Wang, Cheng Li, Nadav Golbandi, Mike Bendersky, and Marc Najork. 2018 · 2018
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Controlling text complexity in neural machine translation
Sweta Agrawal and Marine Carpuat. 2019 · 2019
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Learning groupwise multivariate scoring functions using deep neural networks
Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, and Marc Najork. 2019 · 2019
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Multiattentive recurrent neural network architecture for multilingual readability assessment
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A language-independent approach to automatic text difficulty assessment for second-language learners
Wade Shen, Jennifer Williams, Tamas Marius, and Elizabeth Salesky. 2013 · 2013
Cited alongside, same era.
Coherence and cohesion for the assessment of text readability
Amalia Todirascu, Thomas François, Nuria Gala, Cédric Fairon, Anne-Laure Ligozat, and Delphine Bernhard. 2013 · 2013
Cited alongside, same era.
Measuring readability in financial disclosures
Tim Loughran and Bill McDonald. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Cited alongside, same era.
The textevaluator tool: Helping teachers and test developers select texts for use in instruction and assessment
Kathleen M Sheehan, Irene Kostin, Diane Napolitano, and Michael Flor. 2014 · 2014
Cited alongside, same era.
Graph-based coherence modeling for assessing readability
Mohsen Mesgar and Michael Strube. 2015 · 2015
Cited alongside, same era.
Problems in current text simplification research: New data can help
Wei Xu, Chris Callison-Burch, and Courtney Napoles. 2015 · 2015
Cited alongside, same era.
Ion Madrazo Azpiazu and Maria Soledad Pera. 2019 · 2019
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Controlling the reading level of machine translation output
Kelly Marchisio, Jialiang Guo, Cheng-I Lai, and Philipp Koehn. 2019 · 2019
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Tf-ranking: Scalable tensorflow library for learning-to-rank
Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, and Stephan Wolf. 2019 · 2019
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Assessment of use, specificity, and readability of written clinical informed consent forms for patients with cancer undergoing radiotherapy
Subha Perni, Michael K Rooney, David P Horowitz, Daniel W Golden, Anne R McCall, Andrew J Einstein, and Reshma Jagsi. 2019 · 2019
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Linguistic features for readability assessment
Tovly Deutsch, Masoud Jasbi, and Stuart Shieber. 2020 · 2020
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Learning-to-rank with bert in tf-ranking
Shuguang Han, Xuanhui Wang, Mike Bendersky, and Marc Najork. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Readnet: A hierarchical transformer framework for web article readability analysis
Changping Meng, Muhao Chen, Jie Mao, and Jennifer Neville. 2020 · 2020
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Readability assessment of internet-based patient education materials related to treatment options for benign prostatic hyperplasia
Antony Sare, Aesha Patel, Pankti Kothari, Abhishek Kumar, Nitin Patel, and Pratik A Shukla. 2020 · 2020
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Scipy 1.0: fundamental algorithms for scientific computing in python
Pauli Virtanen, Ralf Gommers, Travis E Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, et al. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Julien Chaumond, Lysandre Debut, Victor Sanh, Clement Delangue, Anthony Moi, Pierric Cistac, Morgan Funtowicz, Joe Davison, Sam Shleifer, et al. 2020 · 2020
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Knowledge-rich bert embeddings for readability assessment
Joseph Marvin Imperial. 2021 · 2021
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Pushing on text readability assessment: A transformer meets handcrafted linguistic features
Bruce W Lee, Yoo Sung Jang, and Jason Hyung-Jong Lee. 2021 · 2021
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Supervised and unsupervised neural approaches to text readability
Matej Martinc, Senja Pollak, and Marko Robnik-Šikonja. 2021 · 2021
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Using broad linguistic complexity modeling for cross-lingual readability assessment
Zarah Weiss, Xiaobin Chen, and Detmar Meurers. 2021 · 2021
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