Search Results - "Van Strien, Daniel"

Datasheets for Digital Cultural Heritage Datasets by Alkemade, Henk, Claeyssens, Steven, Colavizza, Giovanni, Freire, Nuno, Lehmann, Jörg, Neudecker, Clemens, Osti, Giulia, van Strien, Daniel

“…Sparked by issues of quality and lack of proper documentation for datasets, the machine learning community has begun developing standardised processes for…”
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Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2) by Strien, Daniel van, Beelen, Kaspar, Wevers, Melvin, Smits, Thomas, McDonough, Katherine

“…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…”
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Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1) by Strien, Daniel van, Beelen, Kaspar, Wevers, Melvin, Smits, Thomas, McDonough, Katherine

“…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…”
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An Introduction to Version Control Using GitHub Desktop by Strien, Daniel van

“…In this lesson you will be introduced to the basics of version control, understand why it is useful and implement basic version control for a plain text…”
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A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers by Coll Ardanuy, Mariona, Beavan, David, Beelen, Kaspar, Hosseini, Kasra, Lawrence, Jon, McDonough, Katherine, Nanni, Federico, van Strien, Daniel, Wilson, Daniel C. S.

“…We present a new dataset for the task of toponym resolution in digitized historical newspapers in English. It consists of 343 annotated articles from…”
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Library Carpentry: Software Skills Training for Library Professionals by Baker, James, Moore, Caitlin, Priego, Ernesto, Alegre, Raquel, Cope, Jez, Price, Ludi, Stephens, Owen, van Strien, Daniel, Wilson, Greg

“…Librarians play a crucial role in cultivating world-class research and in most disciplinary areas today world-class research relies on the use of software…”
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Maps of a Nation? The Digitized Ordnance Survey for New Historical Research by Hosseini, Kasra, McDonough, Katherine, van Strien, Daniel, Vane, Olivia, Wilson, Daniel C S

“…Abstract Although the Ordnance Survey has itself been the subject of historical research, scholars have not systematically used its maps as primary sources of…”
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Introducción al control de versiones con GitHub Desktop by Strien, Daniel van

“…En esta lección aprenderás lo básico del control de versiones, comprenderás por qué es útil e implementarás el control básico de versiones en un documento de…”
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Metadata Might Make Language Models Better by Beelen, Kaspar, van Strien, Daniel

“…This paper discusses the benefits of including metadata when training language models on historical collections. Using 19th-century newspapers as a case study,…”
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Library Carpentry by James Baker, Caitlin Moore, Ernesto Priego, Raquel Alegre, Jez Cope, Ludi Price, Owen Stephens, Daniel van Strien, Greg Wilson

“…Librarians play a crucial role in cultivating world-class research and in most disciplinary areas today world-class research relies on the use of software…”
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AI training resources for GLAM: a snapshot by Darby, Andrew, Coleman, Catherine Nicole, Engel, Claudia, van Strien, Daniel, Trizna, Mike, Painter, Zachary W

“…We take a snapshot of current resources available for teaching and learning AI with a focus on the Galleries, Libraries, Archives and Museums (GLAM) community…”
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0 by De Toni, Francesco, Akiki, Christopher, de la Rosa, Javier, Fourrier, Clémentine, Manjavacas, Enrique, Schweter, Stefan, van Strien, Daniel

“…In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution…”
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A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching by Ardanuy, Mariona Coll, Hosseini, Kasra, McDonough, Katherine, Krause, Amrey, van Strien, Daniel, Nanni, Federico

“…Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often…”
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Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources by McMillan-Major, Angelina, Alyafeai, Zaid, Biderman, Stella, Chen, Kimbo, De Toni, Francesco, Dupont, Gérard, Elsahar, Hady, Emezue, Chris, Aji, Alham Fikri, Ilić, Suzana, Khamis, Nurulaqilla, Leong, Colin, Masoud, Maraim, Soroa, Aitor, Suarez, Pedro Ortiz, Talat, Zeerak, van Strien, Daniel, Jernite, Yacine

“…In recent years, large-scale data collection efforts have prioritized the amount of data collected in order to improve the modeling capabilities of large…”
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The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset by Laurençon, Hugo, Saulnier, Lucile, Wang, Thomas, Akiki, Christopher, del Moral, Albert Villanova, Scao, Teven Le, Von Werra, Leandro, Mou, Chenghao, Ponferrada, Eduardo González, Nguyen, Huu, Frohberg, Jörg, Šaško, Mario, Lhoest, Quentin, McMillan-Major, Angelina, Dupont, Gerard, Biderman, Stella, Rogers, Anna, allal, Loubna Ben, De Toni, Francesco, Pistilli, Giada, Nguyen, Olivier, Nikpoor, Somaieh, Masoud, Maraim, Colombo, Pierre, de la Rosa, Javier, Villegas, Paulo, Thrush, Tristan, Longpre, Shayne, Nagel, Sebastian, Weber, Leon, Muñoz, Manuel, Zhu, Jian, Van Strien, Daniel, Alyafeai, Zaid, Almubarak, Khalid, Vu, Minh Chien, Gonzalez-Dios, Itziar, Soroa, Aitor, Lo, Kyle, Dey, Manan, Suarez, Pedro Ortiz, Gokaslan, Aaron, Bose, Shamik, Adelani, David, Phan, Long, Tran, Hieu, Yu, Ian, Pai, Suhas, Chim, Jenny, Lepercq, Violette, Ilic, Suzana, Mitchell, Margaret, Luccioni, Sasha Alexandra, Jernite, Yacine

“…As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The…”
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model by Scao, Teven Le, Fan, Angela, Gallé, Matthias, Webson, Albert, Wang, Thomas, Bekman, Stas, Laurençon, Hugo, Launay, Julien, Raffel, Colin, Simhi, Adi, Alfassy, Amit, Rogers, Anna, Leong, Colin, van Strien, Daniel, Ponferrada, Eduardo González, Levkovizh, Efrat, Benyamina, Hamza, Tran, Hieu, Yu, Ian, Johnson, Isaac, Bhattacharjee, Joydeep, Von Werra, Leandro, Dey, Manan, Jiang, Mike Tian-Jian, Jauhar, Mohammad A, Kassner, Nora, Pyysalo, Sampo, Pai, Suhas, Schick, Timo, Thrush, Tristan, Nikoulina, Vassilina, Laippala, Veronika, Heinzerling, Benjamin, Taşar, Davut Emre, Salesky, Elizabeth, Lee, Wilson Y, Szczechla, Eliza, Chhablani, Gunjan, Wang, Han, Rozen, Jos, Manica, Matteo, Nayak, Nihal, Teehan, Ryan, Albanie, Samuel, Shen, Sheng, Ben-David, Srulik, Kim, Taewoon, Neeraj, Trishala, Roberts, Adam, Tae, Jaesung, Phang, Jason, Press, Ofir, Ryabinin, Max, Peyrounette, Myriam, Patry, Nicolas, Cornette, Pierre, Dettmers, Tim, Ligozat, Anne-Laure, Névéol, Aurélie, Taktasheva, Ekaterina, Kalo, Jan-Christoph, Clive, Jordan, Kim, Najoung, Mirkin, Shachar, Pais, Shani, Pruksachatkun, Yada, Pestana, Amanda, Faranak, Amy, Santos, Ana, HajiHosseini, Azadeh, Ajibade, Benjamin, Saxena, Bharat, Nguyen, Duong A, Rezanejad, Habib, Bhattacharya, Indrani, Nejadgholi, Isar, McKenna, Michael, Burynok, Mykola, Rajani, Nazneen, Samuel, Olanrewaju, Kromann, Rasmus, Shubber, Sarmad, Viguier, Sylvain, Miranda-Escalada, Antonio, Singh, Ayush, Manjavacas, Enrique, Barth, Fabio, Bulchandani, Lokesh, Nezhurina, Marianna, Liu, Minna, Kang, Myungsun, Dahlberg, Nathan, Chandrasekhar, Ramya, Eisenberg, Renata, Canalli, Rodrigo, Schweter, Stefan, Laud, Tanmay, Kainuma, Tomoya, Venkatraman, Yash, Xu, Yingxin

“…Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these…”
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