• Minh Hua
• Rita Raley

• code studies
• machine learning
• tools
• web

Our work draws attention to the means by which ordinary users might interact with, and even direct, the behavior of deep learning systems, and by extension works toward demystifying some of the auratic mystery of AI.

• Paul Heinicker
• Janna Kienbaum
• Birgit Schneider

• machine learning
• reading
• project report
• data analytics

• Amanda Furiasse

• dh
• machine learning
• ethics
• data analytics

• James Smithies
• Sarah Atkinson
• Elliott Hall

• interdisciplinarity
• collaboration
• games
• machine learning
• dh
• project report

A case study of embedding a research software engineer from a DH lab into an start-up engaged in developing immersive narrative story-telling platforms.

• Suphan Kirmizialtin
• David Joseph Wrisley

• transcription
• machine learning
• digitization
• archives
• history
• graphic design
• language studies

Exploring the special challenges of OCR for Arabic-script Ottoman Turkish newspapers.

• Nouf Alrasheed
• Praveen Rao
• Viviana Grieco

• digitization
• manuscripts
• history
• machine learning

This article examines the handwriting of seventeenth-century Spanish American notary records

• Benjamin Lee

• machine learning
• archaeology
• digital
• cultural heritage
• databases

In this article, I consider the Library of Congress’s Newspaper Navigator dataset, which I created as part of the Library of Congress’s Innovator-in-Residence program.

• David Lassner
• Anne Baillot
• Sergej Dogadov
• Klaus-Robert Müller
• Shinichi Nakajima

• manuscripts
• machine learning
• tools
• editing

This article present a new probabilistic model for categorizing alterations in manuscripts which yields interesting insights into sensitive topics in the correspondence of Berlin intellectuals around 1800.

• Dena Shamsizadeh Hayatdavoodi
• Niloofar Razavi
• Mehrdad Qayyoomi Bidhendi

• visual art
• machine learning
• interdisciplinarity
• history
• linguistics

• Ontology
• Knowledge Representation
• Domain Ontology
• Iranian Architectural History

Explores questions and problems of how to create an ontology in Iranian architectural history and how to represent the domain in a machine-readable format.

• Sabine Lang
• Björn Ommer

• images
• visual art
• digital
• machine learning

Highlighting the potential of computational vision to analyze artistic images, creating new knowledge from previously known ideas.

• Matthia Sabatelli
• Nikolay Banar
• Marie Cocriamont
• Eva Coudyzer
• Karine Lasaracina
• Walter Daelemans
• Pierre Geurts
• Mike Kestemont

• tools
• music
• images
• machine learning
• visual art

In this paper, we present MINERVA, the first benchmark dataset for the detection of musical instruments in non-photorealistic, unrestricted image collections from the realm of the visual arts.

• Peter Broadwell
• Timothy R. Tangherlini

• machine learning
• content analysis
• performance
• moving images
• area studies

In this paper, we describe the considerations and choices made in the process of applying deep learning-based posed detection to a large corpus of K-pop music videos, and present the analytical methods we developed while focusing on a smaller subset of dance practice videos.

• Iben Have
• Kenneth Enevoldsen

• music
• digitization
• history
• machine learning

This article investigates the research question: How has the distribution of music and talk on the Danish Broadcasting Corporation’s radio channel P3 developed 1989-2019 by comparing a qualitative case study with a new large-scale study.

• Alison Langmead
• Christopher J. Nygren
• Paul Rodriguez
• Alan Craig

• collaboration
• visual art
• machine learning
• digitization

Explores the value, role, and pitfalls for digitel methods of art attribution

• Jeffrey A. T. Lupker
• William J. Turkel

• music
• machine learning

This paper examines musical artificial intelligence (AI) algorithms that can not only learn from big data, but learn in ways that would be familiar to a musician or music theorist.

• Manolis Fragkiadakis
• Victoria Nyst
• Peter van der Putten

• users
• access
• annotation
• machine learning
• tools
• corpora
• data visualization

The aim of this project is to develop a set of tools to assist the annotation of the signs and their formal features in a video irrespectively of its content and quality.

• Minh Hua
• Rita Raley

• nlp
• games
• machine learning
• collaboration
• code studies
• linguistics

Argues for an approach to the the text adventure game AI Dungeon 2 as a model for future human-AI collaborative creative practices

• Diego Jiménez–Badillo
• Patricia Murrieta–Flores
• Bruno Martins
• Ian Gregory
• Mariana Favila-Vázquez
• Raquel Liceras-Garrido

• nlp
• machine learning
• geospatial
• history
• corpora
• area studies

• Relaciones Geográficas de la Nueva España
• early colonial history
• Mexico
• geographical text analysis
• named entity recognition
• name entity disambiguation
• named entity classification
• geographic collocation
• natural language processing
• machine learning

This article explores a DH project that contributes to discussions on computational analysis of vast historical corpora.

• James Dobson

• machine learning
• tools
• data modeling

This essay argues that claims made on behalf of computational models should be more closely evaluated to ensure that they are indeed comprehensible according to the norms of the shared interpretative community of the humanities.

• Ana Jofre
• Vincent Berardi
• Kathleen P.J. Brennan
• Aisha Cornejo
• Carl Bennett
• John Harlan

• images
• project report
• machine learning
• annotation
• tools
• archives
• corpora
• area studies

This is a case study that demonstrates how the authors' software can be used to extract and annotate faces from a magazine archive.

• Sharon Block

• history
• databases
• race
• social justice
• metadata
• gender
• area studies
• cultural criticism
• machine learning

Examines the representation of women and minority groups in JSTOR's topical metadata

• Heyam Abd Alhadi
• Ali Ahmad Hussein
• Tsvi Kuflik

• rhetoric
• area studies
• literary studies
• machine learning
• project report
• corpora

• Text mining
• Arabic natural language processing
• rule-based
• classical Arabic poetry
• rhetorical elements

A novel, rule-based, automatic framework for identifying rhetorical elements in classical Arabic poetry is described.

• Daiki Tagami
• Michael Satlow

• archaeology
• machine learning
• markup

A comparison of machine learning models to predict the year of inscriptions from tabular data in the Israel/Palestine dataset.