Distributed language representation for authorship attribution

[1]  D. Holmes.  The Evolution of Stylometry in Humanities Scholarship , 1998 .

[2]  Jack Grieve,et al.  Quantitative Authorship Attribution: An Evaluation of Techniques , 2007, Lit. Linguistic Comput..

[3]  D. C. Blair,et al.  Language and Representation in Information Retrieval , 1990 .

[4]  Who Wrote Shakespeare? , 1996 .

[5]  Jacques Savoy.  Authorship Attribution Using Political Speeches , 2015, Recent Contributions to Quantitative Linguistics.

[6]  Xin Rong,et al.  word2vec Parameter Learning Explained , 2014, ArXiv.

[7]  Amir H. Darooneh,et al.  The complex networks approach for authorship attribution of books , 2012 .

[8]  Hugh Craig,et al.  Shakespeare, Computers, and the Mystery of Authorship: Contents , 2009 .

[9]  J. Pennebaker.  The Secret Life of Pronouns: What Our Words Say About Us , 2011 .

[10]  Jacques Savoy,et al.  A simple and efficient algorithm for authorship verification , 2017, J. Assoc. Inf. Sci. Technol..

[11]  Meng Zhang,et al.  Neural Network Methods for Natural Language Processing , 2017, Computational Linguistics.

[12]  Petr Sojka,et al.  Software Framework for Topic Modelling with Large Corpora , 2010 .

[13]  Bradley Kjell,et al.  Authorship Determination Using Letter Pair Frequency Features with Neural Network Classifiers , 1995 .

[14]  Roi Blanco,et al.  Probabilistic static pruning of inverted files , 2010, TOIS.

[15]  John Burrows,et al.  'Delta': a Measure of Stylistic Difference and a Guide to Likely Authorship , 2002, Lit. Linguistic Comput..

[16]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[17]  Frederick Mosteller,et al.  Applied Bayesian and classical inference : the case of the Federalist papers , 1984 .

[18]  D. Holmes,et al.  The Federalist Revisited: New Directions in Authorship Attribution , 1995 .

[19]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[20]  David I. Holmes,et al.  The diary of a public man: a case study in traditional and non-traditional authorship attribution , 2010, Lit. Linguistic Comput..

[21]  David M. Blei,et al.  Probabilistic topic models , 2012, Commun. ACM.

[22]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[23]  Jacques Savoy,et al.  Comparative evaluation of term selection functions for authorship attribution , 2015, Digit. Scholarsh. Humanit..

[24]  Michael A. Fligner,et al.  A Comparison of Two Tests for Equality of Two Proportions , 1977 .

[25]  Jacques Savoy,et al.  Authorship attribution based on a probabilistic topic model , 2013, Inf. Process. Manag..

[26]  Dominique Labbé,et al.  Experiments on authorship attribution by intertextual distance in english* , 2007, J. Quant. Linguistics.

[27]  Jacques Savoy,et al.  Estimating the probability of an authorship attribution , 2016, J. Assoc. Inf. Sci. Technol..

[28]  Shlomo Argamon,et al.  Automatically profiling the author of an anonymous text , 2009, CACM.

[29]  Thomas L. Griffiths,et al.  Learning author-topic models from text corpora , 2010, TOIS.

[30]  G. Lakoff,et al.  The Little Blue Book: The Essential Guide to Thinking and Talking Democratic , 2012 .

[31]  Geoffrey E. Hinton,et al.  Acoustic Modeling Using Deep Belief Networks , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[32]  Matt Taddy,et al.  Document Classification by Inversion of Distributed Language Representations , 2015, ACL.

[33]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[34]  Jacques Savoy,et al.  The Federalist Papers revisited: A collaborative attribution scheme , 2013, ASIST.

[35]  H. Love.  Attributing Authorship: An Introduction , 2002 .

[36]  Matthew Purver,et al.  Twitter Language Use Reflects Psychological Differences between Democrats and Republicans , 2015, PloS one.

[37]  G. Miller,et al.  Contextual correlates of semantic similarity , 1991 .

[38]  Moshe Koppel,et al.  Measuring Differentiability: Unmasking Pseudonymous Authors , 2007, J. Mach. Learn. Res..

[39]  Omer Levy,et al.  Linguistic Regularities in Sparse and Explicit Word Representations , 2014, CoNLL.

[40]  Mike Kestemont,et al.  Computational authorship verification method attributes a new work to a major 2nd century African author , 2015, J. Assoc. Inf. Sci. Technol..

[41]  Jacques Savoy,et al.  Authorship Attribution Based on Specific Vocabulary , 2012, TOIS.

[42]  Jose Nilo G. Binongo,et al.  The application of principal component analysis to stylometry , 1999 .

[43]  David I. Holmes,et al.  Neural network applications in stylometry: The Federalist Papers , 1996, Comput. Humanit..

[44]  Carol Peters,et al.  Cross-Language Information Retrieval and Evaluation , 2001, Lecture Notes in Computer Science.

[45]  Cyril Labbé,et al.  How to Measure the Meanings of Words? Amour in Corneille’s Work , 2005, Lang. Resour. Evaluation.

[46]  David H. Wolpert,et al.  The Lack of A Priori Distinctions Between Learning Algorithms , 1996, Neural Computation.

[47]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[48]  Zellig S. Harris,et al.  Distributional Structure , 1954 .

[49]  Yoshua. Bengio,et al.  Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..

[50]  Efstathios Stamatatos.  A survey of modern authorship attribution methods , 2009 .

[51]  P. Bearman,et al.  Lexical shifts, substantive changes, and continuity in State of the Union discourse, 1790–2014 , 2015, Proceedings of the National Academy of Sciences.

[52]  D. Crystal.  The Cambridge Encyclopedia of the English Language , 1998 .

[53]  Matthew L. Jockers,et al.  A comparative study of machine learning methods for authorship attribution , 2010, Lit. Linguistic Comput..

[54]  R. Harald Baayen,et al.  Analyzing linguistic data: a practical introduction to statistics using R, 1st Edition , 2008 .

[55]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[56]  John Burrows,et al.  All the Way Through: Testing for Authorship in Different Frequency Strata , 2007, Lit. Linguistic Comput..

[57]  Philip Resnik,et al.  Political Ideology Detection Using Recursive Neural Networks , 2014, ACL.

[58]  Carol Peters,et al.  Comparative Evaluation of Multilingual Information Access Systems , 2003, Lecture Notes in Computer Science.

[59]  Trevor Hastie,et al.  Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays , 2003 .

[60]  Douglas Biber,et al.  Register, Genre, and Style , 2019 .