Bamman, David, Ted Underwood, Noah Smith. “A Bayesian Mixed Effects Model of Literary Character,” Association for Computational Linguistics 2014. http://www.ark.cs.cmu.edu/literaryCharacter/
Bhattacharyya, Sayan, Peter Organisciak and J. Stephen Downie (2015). A fragmentizing interface to a large corpus of digitized text. Interdisciplinary Science Reviews 40 (1): 61-77.
Boris Capitanu, Ted Underwood, Peter Organisciak, Sayan Bhattacharyya, Loretta Auvil, Colleen Fallaw, J. Stephen Downie (2015). Extracted Feature Dataset from 4.8 Million HathiTrust Digital Library Public Domain Volumes (0.2)[Dataset]. HathiTrust Research Center, doi:10.13012/j8td9v7m. Available at: https://sharc.hathitrust.org/features
Burgoyne, John Ashley, Ichiro Fujinaga, and J. Stephen Downie (IN PRESS). Music information retrieval. In Schreiberman, Susan, Ray Siemens and John Unsworth, eds., Companion to Digital Humanities. Oxford: Wiley-Blackwell. [book chapter]
Downie, J. Stephen (IN PRESS). Foreword. In Knees, Peter and Schedl, Markus, Music Similarity and Retrieval: Audio- and Web-based Strategies. New York: Springer. [book chapter]
Goldstone, Andrew and Ted Underwood. “The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us.” New Literary History 45.3 (2014): 359-84. A site that allows you to explore the underlying model.
Goldstone, Andrew and Ted Underwood.“Theorizing Research Practices We Forgot to Theorize Twenty Years Ago.” Representations 127 (2014): 64-72.
Hu, X., Choi, K. & Downie, J. S. (IN REVISION). A Framework for Evaluating Multimodal Music Mood Classification. Journal of the Association for Information Science and Technology.
Hu, X., Lee, J. H., Bainbridge, D., Choi, K., Organisciak, P., & Downie, J. S. (UNDER REVIEW). The MIREX Grand Challenge: a framework of holistic user experience evaluation in music information retrieval. Journal of the Association for Information Science and Technology.
Jockers, Matthew L., Matthew Sag and Jason Schultz. “Brief of Digital Humanities and Law Scholars as Amici Curiae in Support of Defendant-Appellees and Affirmance, (The Authors Guild, Inc., et al., v. Google, Inc., et al.) (Second Circuit)” July 10, 2014. [View]
Jockers, Matthew L. and Ted Underwood. “Text-Mining the Humanities.” New Companion to the Digital Humanities. Eds. Susan Schreibman, Ray Siemens, and John Unsworth. Wiley-Blackwell Press. (Solicited essay, publication expected in late 2014 or early 2015).
Mandell, Laura. Breaking the Book: Print Humanities in the Digital Age (Wiley Blackwell Manifestos), June 2015
Ning Chen, J. Stephen Downie, Hai-dong Xiao, Yu Zhu (UNDER REVIEW). Cochlear Pitch Class Profile for Cover Song Identification. Applied Acoustics.
Piper, Andrew, Hardik Vala, David Jurgens, and Derek Ruths. “Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts.” Conference on Empirical Methods in Natural Language Processing (EMNLP-2015).
Piper, Andrew, Stefan Dimitrov, Faiyaz Zamal, and Derek Ruths.“Goodreads vs Amazon: The Effect Of Decoupling Book Reviewing And Book Selling.” International Conference on Web and Social Media (ICWSM-14) 2015.
Piper, Andrew.“Novel Devotions: Conversional Reading, Computational Modeling, and the Modern Novel.” New Literary History 46.1 (2015): 63-98.
Underwood, Ted (2014): Understanding Genre in a Collection of a Million Volumes, Interim Report. figshare. http://dx.doi.org/10.6084/m9.figshare.1281251
Underwood, Ted (2014): Page-Level Genre Metadata for English-Language Volumes in HathiTrust, 1700-1922. figshare. http://dx.doi.org/10.6084/m9.figshare.1279201
Willkens, Matthew, Sonia Howell. eds. Digital Humanities and Irish Studies. Vol. 3 of Breac: A Digital Journal of Irish Studies. Forthcoming 2014.
Wilkens, Matthew. “Digital Humanities and Its Application in the Study of Literature and Culture.” Comparative Literature.