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2022
Conference paper (published)
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. MapReader allows users with little computer vision expertise to i) retrieve maps via web-servers; ii) preprocess and divide them into patches; iii) annotate patches; iv) train, fine-tune, and evaluate deep neural network models; and...Hosseini, Kasra ; Wilson, Daniel C. S. ; Beelen, Kaspar ; McDonough, Katherine
maps and ordnance survey
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2021
Conference paper (published)
When Time Makes Sense: A Historically-Aware Approach to Targeted Sense Disambiguation
As languages evolve historically, making computational approaches sensitive to time can improve performance on specific tasks. In this work, we assess whether applying historical language models and time-aware methods help with determining the correct sense of polysemous words. We outline the task of time-sensitive Targeted Sense Disambiguation (TSD), which aims...Beelen, Kaspar ; Nanni, Federico ; Coll Ardanuy, Mariona ; Hosseini, Kasra ; Tolfo, Giorgia …
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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