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2021
Journal article
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
We present MapReader, a free, open-source software library written in Python for analyzing large map collections (scanned or born-digital). This library transforms the way historians can use maps by turning extensive, homogeneous map sets into searchable primary sources. MapReader allows users with little or no computer vision expertise to i)...Hosseini, Kasra ; Wilson, Daniel C.S. ; Beelen, Kaspar ; McDonough, Katherine
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2021
Journal article
Maps of a Nation? The Digitized Ordnance Survey for New Historical Research
Although the Ordnance Survey has itself been the subject of historical research, scholars have not systematically used its maps as primary sources of information. This is partly for disciplinary reasons and partly for the technical reason that high-quality maps have not until recently been available digitally, geo-referenced, and in color....Hosseini, Kasra ; McDonough, Katherine ; van Strien, Daniel ; Vane, Olivia ; Wilson, Daniel C.S.
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2022
Journal article
A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
We present a new dataset for the task of toponym resolution in digitized historical newspapers in English. It consists of 343 annotated articles from newspapers based in four different locations in England (Manchester, Ashton-under-Lyne, Poole and Dorchester), published between 1780 and 1870. The articles have been manually annotated with mentions... -
2020
Dataset
Living Machines atypical animacy dataset
Atypical animacy detection dataset, based on nineteenth-century sentences in English extracted from an open dataset of nineteenth-century books digitized by the British Library (available via https://doi.org/10.21250/db14, British Library Labs, 2014). This dataset contains 598 sentences containing mentions of machines. Each sentence has been annotated according to the animacy and humanness... -
2021
Dataset
Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
We present a new dataset (version 2) for the task of toponym resolution in digitised historical newspapers in English. It consists of 455 annotated articles from newspapers based in four different locations in England (Manchester, Ashton-under-Lyne, Poole and Dorchester), published between 1780 and 1870. The articles have been manually annotated...Coll Ardanuy, Mariona ; Beavan, David ; Beelen, Kaspar ; Hosseini, Kasra ; Lawrence, Jon …
nineteenth-century English, dataset, newspapers, toponym resolution, and geographic information retrieval
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2019
Conference paper (published)
Resolving places, past and present: toponym resolution in historical British newspapers using multiple resources
Newspapers and their metadata are richly geographical, not only in their distribution but also their content. Attending to these spatial features is a prerequisite in newspaper research. Following other projects to have geoparsed place names in newspapers, we describe our approach to linking historical geospatial information in text to real-world...Coll Ardanuy, Mariona ; McDonough, Katherine ; Krause, Amrey ; Wilson, Daniel C.S. ; Hosseini, Kasra …
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2020
Conference paper (unpublished)
Contextualizing Victorian Newspapers
Beelen, Kaspar ; Ahnert, Ruth ; Beavan, David ; Coll Ardanuy, Mariona ; Hosseini, Kasra …
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2020
Conference paper (unpublished)
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often hindered by the high degree of variation in toponyms. Candidate selection is the task of identifying the potential entities that can be referred to by a toponym... -
2020
Conference paper (published)
Living Machines: A study of atypical animacy
This paper proposes a new approach to animacy detection, the task of determining whether an entity is represented as animate in a text. In particular, this work is focused on atypical animacy and examines the scenario in which typically inanimate objects, specifically machines, are given animate attributes. To address it,...Coll Ardanuy, Mariona ; Nanni, Federico ; Beelen, Kaspar ; Hosseini, Kasra ; Ahnert, Ruth …
nineteenth-century English, living machines, BERT, and animacy
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2019
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2020
Abstract
Using smart annotations to map the geography of newspapers
Geographic information is a key component in the description of collection objects, and yet its format is often unsuited for use with methods of geographic analysis. Catalogue entries are often inconsistent, in plain text, and without geographic coordinates (much less coordinates linked to authority records). Georesolution of the relevant fields...Ryan, Yann ; Coll Ardanuy, Mariona ; van Strien, Daniel ; Hosseini, Kasra ; Beelen, Kaspar …
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2023
Other
Models for MapReader ACM SIGSPATIAL 2023 Geohumanities Workshop paper
Collection of fine-tuned models created during research published in Kasra Hosseini, Daniel C. S. Wilson, Kaspar Beelen, and Katherine McDonough. 2022. MapReader: a computer vision pipeline for the semantic exploration of maps at scale. In Proceedings of the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities (GeoHumanities '22). Association for...Hosseini, Kasra ; Beelen, Kaspar ; McDonough, Katherine ; Wilson, Daniel C. S.
computational humanities, computer vision, maps, models, and image classification
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2022
Learning object
Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)
This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of training a computer vision model to perform image classification.Strien, Daniel van ; Beelen, Kaspar ; Wevers, Melvin ; Smits, Thomas ; McDonough, Katherine
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2022
Learning object
Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)
This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model. It covers some challenges one may face due to the training data used and the importance...Strien, Daniel van ; Beelen, Kaspar ; Wevers, Melvin ; Smits, Thomas ; McDonough, Katherine
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2020
Book chapter
Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval
In this half-day tutorial, we will review the basic concepts of, methods for, and applications of geographic information retrieval, also showing some possible applications in fields such as the digital humanities. The tutorial is organized in four parts. First we introduce some basic ideas about geography, and demonstrate why text...Leidner, Jochen ; Martins, Bruno ; McDonough, Katherine ; Purves, Ross