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A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
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In: Journal of Open Humanities Data; Vol 8 (2022); 3 ; 2059-481X (2022)
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Approche symbolique pour la classification des entités nommées dans l'Encyclopédie de Diderot et d'Alembert
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In: Atelier UChicago Center "Données et discours géographiques en France au 18e siècle" ; https://hal.archives-ouvertes.fr/hal-03259058 ; Atelier UChicago Center "Données et discours géographiques en France au 18e siècle", Jun 2021, Paris, France ; https://centerinparis.uchicago.edu/events/donnees-et-discours-geographiques-en-france-au-18e-siecle (2021)
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Combinaison d’approches qualitative et quantitative pour le repérage et la classification des entités nommées dans l’Encyclopédie de Diderot et d’Alembert (1751-1772)
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In: Theoretical linguistics in the light of the interaction of qualitative and quantitative approaches ; https://halshs.archives-ouvertes.fr/halshs-03271672 ; Theoretical linguistics in the light of the interaction of qualitative and quantitative approaches, Jun 2021, Neuchâtel, Suisse ; http://www.unine.ch/isla/home/colloques/theorling-2021.html (2021)
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Living Machines: A study of atypical animacy
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Coll Ardanuy, Mariona; Nanni, Federico; Beelen, Kaspar; Hosseini, Kasra; Ahnert, Ruth; Lawrence, Jon; McDonough, Katherine; Tolfo, Giorgia; Wilson, Daniel CS; McGillivray, Barbara. - : https://www.aclweb.org/anthology/events/coling-2020/#2020-coling-main, 2021. : Proceedings of the 28th International Conference on Computational Linguistics, 2021
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Abstract:
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, we have created the first dataset for atypical animacy detection, based on nineteenth-century sentences in English, with machines represented as either animate or inanimate. Our method builds on recent innovations in language modeling, specifically BERT contextualized word embeddings, to better capture fine-grained contextual properties of words. We present a fully unsupervised pipeline, which can be easily adapted to different contexts, and report its performance on an established animacy dataset and our newly introduced resource. We show that our method provides a substantially more accurate characterization of atypical animacy, especially when applied to highly complex forms of language use.
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URL: https://doi.org/10.17863/CAM.63006
https://www.repository.cam.ac.uk/handle/1810/315895
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GeoDISCO: Encyclopedic Geographical Discourse in France from the Enlightenment to Wikipedia ; GeoDISCO: Le discours géographique en France des Lumières à Wikipédia
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In: GIR'19, 13th International Workshop on Geographic Information Retrieval ; https://hal.archives-ouvertes.fr/hal-02474835 ; GIR'19, 13th International Workshop on Geographic Information Retrieval, Nov 2019, Lyon, France ; https://www.geo.uzh.ch/~rsp/gir19/ (2019)
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