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Mike Kestemont
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- affiliation: University of Antwerpen, Belgium
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2020 – today
- 2024
- [c55]Folgert Karsdorp, Mike Kestemont, Margo de Koster:
Beyond the Register: Demographic Modeling of Arrest Patterns in 1879-1880 Brussels. CHR 2024: 265-281 - [c54]Caroline Vandyck, Mike Kestemont:
Abbreviation Application: A Stylochronometric Study of Abbreviations in the Oeuvre of Herne's Speculum Scribe. CHR 2024: 881-891 - [c53]Thibault Clérice, Ariane Pinche, Malamatenia Vlachou-Efstathiou, Alix Chagué, Jean-Baptiste Camps, Matthias Gille Levenson, Olivier Brisville-Fertin, Federico Boschetti, Franz Fischer, Michael Gervers, Agnès Boutreux, Avery Manton, Simon Gabay, Patricia O'Connor, Wouter Haverals, Mike Kestemont, Caroline Vandyck, Benjamin Kiessling:
CATMuS Medieval: A Multilingual Large-Scale Cross-Century Dataset in Latin Script for Handwritten Text Recognition and Beyond. ICDAR (3) 2024: 174-194 - 2023
- [j15]Wouter Haverals, Mike Kestemont:
From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored. J. Data Min. Digit. Humanit. 2023 (2023) - [j14]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Transfer Learning for the Visual Arts: The Multi-modal Retrieval of Iconclass Codes. ACM Journal on Computing and Cultural Heritage 16(2): 32:1-32:16 (2023) - [c52]Wouter Haverals, Mike Kestemont:
The Middle Dutch Manuscripts Surviving from the Carthusian Monastery of Herne (14th century): Constructing an Open Dataset of Digital Transcriptions. CHR 2023: 135-152 - [c51]Thomas Smits, Wouter Haverals, Loren Verreyen, Mona Allaert, Mike Kestemont:
Greetings from! Extracting address information from 100, 000 historical picture postcards. CHR 2023: 512-529 - [c50]Wouter Haverals, Mike Kestemont:
Handwritten text recognition applied to the manuscript production of the Carthusian Monastery of Herne in the Fourteenth Century. DH 2023 - 2022
- [c49]Margherita Parigini, Mike Kestemont:
The Roots of Doubt. Fine-tuning a BERT Model to Explore a Stylistic Phenomenon. CHR 2022: 72-91 - [c48]Alessandra De Mulder, Lauren Fonteyn, Mike Kestemont:
Linguistic Value Construction in 18th-Century London Auction Advertisements: a Quantitative Approach. CHR 2022: 92-113 - [c47]Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reynier Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection. CLEF 2022: 382-394 - [c46]Efstathios Stamatatos, Mike Kestemont, Krzysztof Kredens, Piotr Pezik, Annina Heini, Janek Bevendorff, Benno Stein, Martin Potthast:
Overview of the Authorship Verification Task at PAN 2022. CLEF (Working Notes) 2022: 2301-2313 - [c45]Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reyner Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection - Extended Abstract. ECIR (2) 2022: 331-338 - [i7]Wouter Haverals, Mike Kestemont:
From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored. CoRR abs/2210.14061 (2022) - 2021
- [j13]Matthia Sabatelli, Nikolay Banar, Marie Cocriamont, Eva Coudyzer, Karine Lasaracina, Walter Daelemans, Pierre Geurts, Mike Kestemont:
Advances in Digital Music Iconography: Benchmarking the detection of musical instruments in unrestricted, non-photorealistic images from the artistic domain. Digit. Humanit. Q. 15(1) (2021) - [c44]Ben Burtenshaw, Mike Kestemont:
A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection. BUCC@RANLP 2021: 75-79 - [c43]Thomas Smits, Mike Kestemont:
Towards Multimodal Computational Humanities. Using CLIP to Analyze Late-Nineteenth Century Magic Lantern Slides. CHR 2021: 149-158 - [c42]Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection. CLEF 2021: 419-431 - [c41]Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Benno Stein, Martin Potthast:
Overview of the Cross-Domain Authorship Verification Task at PAN 2021. CLEF (Working Notes) 2021: 1743-1759 - [c40]Janek Bevendorff, Berta Chulvi, Gretel Liz De la Peña Sarracén, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Manuel Rangel Pardo, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle:
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection - Extended Abstract. ECIR (2) 2021: 567-573 - [c39]Nikolay Banar, Matthia Sabatelli, Pierre Geurts, Walter Daelemans, Mike Kestemont:
Transfer Learning with Style Transfer between the Photorealistic and Artistic Domain. Computer Vision and Image Analysis of Art 2021: 1-9 - [c38]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Multi-modal Label Retrieval for the Visual Arts: The Case of Iconclass. ICAART (1) 2021: 622-629 - [c37]Ben Burtenshaw, Mike Kestemont:
UAntwerp at SemEval-2021 Task 5: Spans are Spans, stacking a binary word level approach to toxic span detection. SemEval@ACL/IJCNLP 2021: 898-903 - [c36]Matthia Sabatelli, Mike Kestemont, Pierre Geurts:
On the Transferability of Winning Tickets in Non-natural Image Datasets. VISIGRAPP (5: VISAPP) 2021: 59-69 - [e1]Maud Ehrmann, Folgert Karsdorp, Melvin Wevers, Tara Lee Andrews, Manuel Burghardt, Mike Kestemont, Enrique Manjavacas, Michael Piotrowski, Joris van Zundert:
Proceedings of the Conference on Computational Humanities Research, CHR2021, Amsterdam, The Netherlands, November 17-19, 2021. CEUR Workshop Proceedings 2989, CEUR-WS.org 2021 [contents] - 2020
- [c35]Mike Kestemont, Folgert Karsdorp:
Estimating the Loss of Medieval Literature with an Unseen Species Model from Ecodiversity. CHR 2020: 44-55 - [c34]Enrique Manjavacas, Folgert Karsdorp, Mike Kestemont:
A Statistical Foray into Contextual Aspects of Intertextuality. CHR 2020: 77-96 - [c33]Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection. CLEF 2020: 372-383 - [c32]Mike Kestemont, Enrique Manjavacas, Ilia Markov, Janek Bevendorff, Matti Wiegmann, Efstathios Stamatatos, Martin Potthast, Benno Stein:
Overview of the Cross-Domain Authorship Verification Task at PAN 2020. CLEF (Working Notes) 2020 - [c31]Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle:
Shared Tasks on Authorship Analysis at PAN 2020. ECIR (2) 2020: 508-516 - [c30]Nikolay Banar, Karine Lasaracina, Walter Daelemans, Mike Kestemont:
Transfer Learning for Digital Heritage Collections: Comparing Neural Machine Translation at the Subword-level and Character-level. ICAART (1) 2020: 522-529 - [c29]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Character-Level Transformer-Based Neural Machine Translation. NLPIR 2020: 149-156 - [i6]Matthia Sabatelli, Mike Kestemont, Pierre Geurts:
On the Transferability of Winning Tickets in Non-Natural Image Datasets. CoRR abs/2005.05232 (2020) - [i5]Nikolay Banar, Walter Daelemans, Mike Kestemont:
Character-level Transformer-based Neural Machine Translation. CoRR abs/2005.11239 (2020)
2010 – 2019
- 2019
- [c28]Walter Daelemans, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco M. Rangel Pardo, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Michael Tschuggnall, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection. CLEF 2019: 402-416 - [c27]Mike Kestemont, Efstathios Stamatatos, Enrique Manjavacas, Walter Daelemans, Martin Potthast, Benno Stein:
Overview of the Cross-domain Authorship Attribution Task at PAN 2019. CLEF (Working Notes) 2019 - [c26]Enrique Manjavacas, Mike Kestemont, Folgert Karsdorp:
Generation of Hip-Hop Lyrics with Hierarchical Modeling and Conditional Templates. INLG 2019: 301-310 - [c25]Enrique Manjavacas, Brian Long, Mike Kestemont:
On the Feasibility of Automated Detection of Allusive Text Reuse. LaTeCH@NAACL-HLT 2019: 104-114 - [c24]Enrique Manjavacas, Ákos Kádár, Mike Kestemont:
Improving Lemmatization of Non-Standard Languages with Joint Learning. NAACL-HLT (1) 2019: 1493-1503 - [d3]Mike Kestemont, Efstathios Stamatatos, Enrique Manjavacas, Walter Daelemans, Martin Potthast, Benno Stein:
PAN19 Authorship Analysis: Cross-Domain Authorship Attribution. Zenodo, 2019 - [i4]Enrique Manjavacas, Ákos Kádár, Mike Kestemont:
Improving Lemmatization of Non-Standard Languages with Joint Learning. CoRR abs/1903.06939 (2019) - [i3]Enrique Manjavacas, Brian Long, Mike Kestemont:
On the Feasibility of Automated Detection of Allusive Text Reuse. CoRR abs/1905.02973 (2019) - 2018
- [j12]Greta Franzini, Mike Kestemont, Gabriela Rotari, Melina Jander, Jeremi K. Ochab, Emily Franzini, Joanna Byszuk, Jan Rybicki:
Attributing Authorship in the Noisy Digitized Correspondence of Jacob and Wilhelm Grimm. Frontiers Digit. Humanit. 5: 4 (2018) - [c23]Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection. CLEF (Working Notes) 2018 - [c22]Efstathios Stamatatos, Francisco M. Rangel Pardo, Michael Tschuggnall, Benno Stein, Mike Kestemont, Paolo Rosso, Martin Potthast:
Overview of PAN 2018 - Author Identification, Author Profiling, and Author Obfuscation. CLEF 2018: 267-285 - [c21]Greta Franzini, Franz Fischer, Mike Kestemont:
Digital Medievalist: A Web Community for Medievalists working with Digital Media. DHd 2018 - [c20]Fotis Jannidis, Mike Kestemont:
Embedded Humanities. DHd 2018 - [c19]Marco Büchler, Greta Franzini, Mike Kestemont, Enrique Manjavacas:
The re-creation of Harry Potter: Tracing style and content across novels, movie scripts and fanfiction. DH 2018: 715-716 - [c18]Matthia Sabatelli, Mike Kestemont, Walter Daelemans, Pierre Geurts:
Deep Transfer Learning for Art Classification Problems. ECCV Workshops (2) 2018: 631-646 - [d2]Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
PAN18 Author Identification: Attribution. Zenodo, 2018 - [d1]Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
PAN18 Multi-Author Analysis: Style-Change-Detection. Zenodo, 2018 - 2017
- [j11]Joris van Zundert, Sally Chambers, Mike Kestemont, Marijn Koolen, Catherine Jones:
DHBeNeLux: Incubator for Digital Humanities in Belgium, the Netherlands and Luxembourg. Digit. Humanit. Q. 11(4) (2017) - [j10]Mike Kestemont, Jeroen De Gussem:
Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning. J. Data Min. Digit. Humanit. 2017 (2017) - [j9]Mike Kestemont, Guy De Pauw, Renske van Nie, Walter Daelemans:
Lemmatization for variation-rich languages using deep learning. Digit. Scholarsh. Humanit. 32(4): 797-815 (2017) - [c17]Enrique Manjavacas, Folgert Karsdorp, Ben Burtenshaw, Mike Kestemont:
Synthetic Literature: Writing Science Fiction in a Co-Creative Process. CC-NLG@INLG 2017: 29-37 - [c16]Mike Kestemont, Dominique Stutzmann:
Script Identification in Medieval Latin Manuscripts Using Convolutional Neural Networks. DH 2017 - [c15]Mike Kestemont, Els Stronks, Martine de Bruin, Tim de Winkel:
Did a Poet with Donkey Ears Write the Oldest Anthem in the World? Ideological Implications of the Computational Attribution of the Dutch National Anthem to Petrus Dathenus. DH 2017 - [i2]Enrique Manjavacas, Jeroen De Gussem, Walter Daelemans, Mike Kestemont:
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution. CoRR abs/1708.05536 (2017) - 2016
- [j8]Mike Kestemont, Justin Anthony Stover, Moshe Koppel, Folgert Karsdorp, Walter Daelemans:
Authenticating the writings of Julius Caesar. Expert Syst. Appl. 63: 86-96 (2016) - [j7]Justin Anthony Stover, Yaron Winter, Moshe Koppel, Mike Kestemont:
Computational authorship verification method attributes a new work to a major 2nd century African author. J. Assoc. Inf. Sci. Technol. 67(1): 239-242 (2016) - [j6]Maciej Eder, Jan Rybicki, Mike Kestemont:
Stylometry with R: A Package for Computational Text Analysis. R J. 8(1): 107 (2016) - [c14]Mike Kestemont, Justin Anthony Stover, Moshe Koppel, Folgert Karsdorp, Walter Daelemans:
Authorship Verification with the Ruzicka Metric. DH 2016: 246-249 - [c13]Dirk Van Hulle, Mike Kestemont:
Stylochronometry and the Periodization of Samuel Beckett's Prose. DH 2016: 393-395 - [i1]Mike Kestemont, Jeroen De Gussem:
Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning. CoRR abs/1603.01597 (2016) - 2015
- [j5]Mike Kestemont, Sara Moens, Jeroen Deploige:
Collaborative authorship in the twelfth century: A stylometric study of Hildegard of Bingen and Guibert of Gembloux. Digit. Scholarsh. Humanit. 30(2): 199-224 (2015) - [c12]Folgert Karsdorp, Mike Kestemont, Christof Schöch, Antal van den Bosch:
The Love Equation: Computational Modeling of Romantic Relationships in French Classical Drama. CMN 2015: 98-107 - 2014
- [j4]Mike Kestemont:
Macroanalysis. Digital Methods and Literary History. Matthew L. Jockers. Lit. Linguistic Comput. 29(2): 274-276 (2014) - [j3]Jan Rybicki, David L. Hoover, Mike Kestemont:
Collaborative authorship: Conrad, Ford and Rolling Delta. Lit. Linguistic Comput. 29(3): 422-431 (2014) - [c11]Mike Kestemont:
Function Words in Authorship Attribution. From Black Magic to Theory? CLfL@EACL 2014: 59-66 - [c10]Hugh Craig, Maciej Eder, Fotis Jannidis, Mike Kestemont, Jan Rybicki, Christof Schöch:
Validating Computational Stylistics in Literary Interpretation. DH 2014 - [c9]Joris van Zundert, Fotis Jannidis, Johanna Drucker, Geoffrey Rockwell, Ted Underwood, Mike Kestemont, Tara L. Andrews:
What is Modeling and What is Not?. DH 2014 - [c8]Mike Kestemont, Folgert Karsdorp, Marten Düring:
Mining the Twentieth Century's History from the Time Magazine Corpus. LaTeCH@EACL 2014: 62-70 - 2013
- [c7]Mike Kestemont, Sara Moens, Jeroen Deploige:
Stylometry and the Complex Authorship in Hildegard of Bingen's Oeuvre. DH 2013: 255-257 - [c6]Jan Rybicki, David L. Hoover, Mike Kestemont:
Collaborative Authorship: Conrad, Ford and Rolling Delta. DH 2013: 368-370 - [c5]Maciej Eder, Mike Kestemont, Jan Rybicki:
Stylometry with R: a suite of tools. DH 2013: 487-488 - 2012
- [j2]Mike Kestemont, Walter Daelemans, Dominiek Sandra:
Robust Rhymes? The Stability of Authorial Style in Medieval Narratives. J. Quant. Linguistics 19(1): 54-76 (2012) - [c4]Mike Kestemont, Kim Luyckx, Walter Daelemans, Thomas Crombez:
Evaluating Unmasking for Cross-Genre Authorship Verification. DH 2012: 249-251 - [c3]Mike Kestemont, Claudia Peersman, Benny De Decker, Guy De Pauw, Kim Luyckx, Roser Morante, Frederik Vaassen, Janneke van de Loo, Walter Daelemans:
The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language. LREC 2012: 1569-1572 - 2011
- [c2]Mike Kestemont, Kim Luyckx, Walter Daelemans:
Intrinsic Plagiarism Detection Using Character Trigram Distance Scores - Notebook for PAN at CLEF 2011. CLEF (Notebook Papers/Labs/Workshop) 2011 - 2010
- [j1]Mike Kestemont, Walter Daelemans, Guy De Pauw:
Weigh your words - memory-based lemmatization for Middle Dutch. Lit. Linguistic Comput. 25(3): 287-301 (2010) - [c1]Karina van Dalen-Oskam, Jacob Thaisen, Mike Kestemont:
Computational approaches to textual variation in medieval literature. DH 2010: 37-43
Coauthor Index
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last updated on 2024-11-25 23:39 CET by the dblp team
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