Publications – DHLab

2023

Ali Hürriyetoğlu, Teresa Paccosi, Stefano Menini, Mathias Zinnen, Pasquale Lisena, Kiymet Akdemir, Raphaël Troncy and Marieke van Erp (2023) MUSTI – Multimodal Understanding of Smells in Texts and Images at MediaEval 2022. In: Proceedings of MediaEval’22: Multimedia Evaluation Workshop, January 13–15, 2023, Bergen, Norway and Online.
Sofia Baroncini, Bruno Sartini, Marieke van Erp, Francesca Tomasi, Aldo Gangemi, (2023) Is dc:subject enough? A Landscape on Iconography and Iconology statements of Knowledge Graphs in the Semantic Web. Accepted for publication in: Journal of Documentation.
Andrei Nesterov, Laura Hollink, Marieke van Erp and Jacco van Ossenbruggen (2023) A knowledge graph of contentious terminology for inclusive representation of cultural heritage. Accepted to: ESWC 2023.

2022

Andrea Peverelli, Marieke van Erp, and Jan Bloemendal. “Tracking Textual Similarities in Neo-Latin Drama Networks.” In Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022). Marseille, France. 20-25 June 2022. pp. 5295-5303
Rositsa Ivanova, Marieke van Erp and Sabrina Kirrane “Comparing Annotated Datasets for Named Entity Recognition in English Literature” In Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022). Marseille, France. 20-25 June 2022. pp. 3788‑3797
P. Lisena, D. Schwabe, M. van Erp, R. Troncy, W. Tullett, I. Leemans, L. Marx, and S. C. Ehrich, “Capturing the semantics of smell: the odeuropa data model for olfactory heritage information,” in Proceedings of ESWC 2022. Crete, Greece 2022. Winner Best Resources Paper.
S. Menini, T. Paccosi, S. Tonelli, M. Van Erp, I. Leemans, P. Lisena, R. Troncy, W. Tullett, A. Hürriyetoğlu, G. Dijkstra, F. Gordijn, E. Jürgens, J. Koopman, A. Ouwerkerk, S. Steen, I. Novalija, J. Brank, D. Mladenic, and A. Zidar, “A multilingual benchmark to capture olfactory situations over time,” in Proceedings of the 3rd workshop on computational approaches to historical language change, Dublin, Ireland, 2022, p. 1–10.
Armaselu, Florentina, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, Andrius Utka, Giedrė Valūnaitė Oleškevičienė, and Marieke van Erp. “LL (O) D and NLP perspectives on semantic change for humanities research.” Semantic Web (2022): 1-30.
Bleeker, Elli, Kaspar Beelen, Sally Chambers, Marijn Koolen, Liliana Melgar-Estrada, and Joris J. Van Zundert. 2022. “Who’s In and Who’s Out: 10 Years On.” In Digital Humanities 2022 Conference Abstracts, 129–131. Tokyo: The University of Tokyo / DH2022 Local Organizing Committee. https://dh2022.dhii.asia/abstracts/344
Bleeker, Elli, Marijn Koolen, Kaspar Beelen, Liliana Melgar, Joris Van Zundert, and Sally Chambers. 2022. “A Game of Persistence, Self-Doubt, and Curiosity: Surveying Code Literacy in Digital Humanities.” DH Benelux Journal 4 (1): 2. https://doi.org/10.17613/03ds-9973.
Bordalejo, Barbara, Julia Neugarten, and Joris J. Van Zundert. 2022. “Fifty Shades of Twilight: Computationally Comparing Collocations in Twilight and 50 Shades of Grey.” In Digital Humanities 2022 Conference Abstracts, 428–29. Tokyo: The University of Tokyo / DH2022 Local Organizing Committee. https://dh2022.dhii.asia/abstracts/342.
Cugliana, Elisa, and Joris Van Zundert. 2022. “A Computational Turn in Digital Philology Questions.” Filologia Germanica / Germanic Philology 14 (1): 43–71. http://aifg.it/rivista-14/.
Eder, Maciej, Saskia Lensink, Joris J. Van Zundert, and Kaspar Van Dalen-Oskam, Karina. 2022. “Replicating The Riddle of Literary Quality: The LitRiddle Package for R.” In Digital Humanities 2022 Conference Abstracts, 636–637. Tokyo: The University of Tokyo / DH2022 Local Organizing Committee. https://dh2022.dhii.asia/abstracts/163.
Koolen, Marijn, Olivia Da Costa Fialho, Julia Neugarten, Joris J. van Zundert, Willem van Hage, Ole Mussmann, and P. Boot. 2022. “What Can Online Book Reviews Reveal about Readers and Platforms?” In . https://clin2022.uvt.nl/what-can-online-book-reviews-reveal-about-readers-and-platforms/.
Neugarten, Julia, Lisanne Van Rossum, and Joris Van Zundert. 2022. “Defying Expectations: Stylistically Unconventional Anger in a Contemporary Dutch Literary Novel.” In DHBenelux 2022. Belval: C2DH. https://zenodo.org/record/6576145#.Y71py-KZPzd.
Romein, C. Annemieke, Tobias Hodel, Femke Gordijn, Joris J. van Zundert, Alix Chagué, Milan van Lange, Helle Strandgaard Jensen, et al. 2022. “Exploring Data Provenance in Handwritten Text Recognition Infrastructure: Sharing and Reusing Ground Truth Data, Referencing Models, and Acknowledging Contributions. Starting the Conversation on How We Could Get It Done.” E-Pub Ahead of Print, November, 1–36. https://doi.org/10.5281/zenodo.7267245.
Van Zundert, Joris J. 2022. “Scholarship in Interaction.” Doctoral thesis, Leiden: Centre for Science and Technology Studies , Faculty of Social and Behavioural Sciences , Leiden University. Leiden University Scholarly Publications. https://hdl.handle.net/1887/3464403.
Van Zundert, Joris, Marijn Koolen, Julia Neugarten, Peter Boot, Willem Van Hage, and Ole Mussmann. 2022. “What Do We Talk About When We Talk About Topic?” In Proceedings of the Conference on Computational Humanities Research 2022, 398–410. Antwerpen: CEUR Workshop Proceedings. https://doi.org/urn:nbn:de:0074-3290-8.
van Zundert, J. J., Koolen, M., Neugarten, J., Boot, P., van Hage, W., & Mussmann, O. (2022). What Do We Talk About When We Talk About Topic? In F. Karsdorp, A. Lassche, & K. Nielbo (Eds.), Proceedings of the Computational Humanities Research Conference 2022 (pp. 398-410). (CEUR Workshop Proceedings ; No. 3290). https://ceur-ws.org/Vol-3290/short_paper5533.pdf
Sartini, B., Vogelmann, V., Van Erp, M., Gangemi, A. 2022. “Comparing Symbolism Across Asian Cultural Contexts Using Graph Similarity Measures.” In Digital Humanities 2022 Conference Abstracts, 358–361. Tokyo: The University of Tokyo / DH2022 Local Organizing Committee. https://dh2022.dhii.asia/abstracts/567.
Massri, M. B., Novalija, I., Mladenic, D., Brank, J., Graça da Silva, S., Marrouch, N., . . . Šircelj, B. (2022). Harvesting Context and Mining Emotions Related to Olfactory Cultural Heritage. Multimodal Technologies and Interaction, 6(7).
Hürriyetoglu, A., Mutlu, O., Durusan, F., Uca, O., Gürel, A. S., Radford, B., . . . Yörük, E. (2022). Extended Multilingual protest news detection – Shared Task 1, CASE 2021 and 2022. In Proceedings of the 5th workshop on challenges and applications of automated extraction of socio-political events from text (case 2022), online: Association for Computational Linguistics (ACL).
Hürriyetoglu, A., Tanev, H., Zavarella, V., Yeniterzi, R., Mutlu, O., & Yörük, E. (2022). Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022): Workshop and Shared Task Report. In Proceedings of the 5th workshop on challenges and applications of automated extraction of socio-political events from text (case 2022), Online: Association for Computational Linguistics.
Kiymet Akdemir, K., & Hürriyetoglu, A. (2022). Zero-Shot Ranking Socio-Political Texts with Transformer Language Models to Reduce Close Reading Time. In Proceedings of the 5th workshop on challenges and applications of automated extraction of socio-political events from text (case 2022), online: Association for Computational Linguistics (ACL).
Tan, F. A., Hürriyetoglu, A., Caselli, T., Oostdijk, N., Hettiarachchi, H., Nomoto, T., . . . Liza, F. F. (2022). Event Causality Identification with Causal News Corpus – Shared Task 3, CASE 2022. In Proceedings of the 5th workshop on challenges and applications of automated extraction of socio-political events from text (case 2022), Online: Association for Computational Linguistics.
Zavarella, V., Tanev, H., Hürriyetoglu, A., Wiriyathammabhum, P., & De Longueville, B. (2022). Tracking COVID-19 protest events in the United States. Shared Task 2: Event Database Replication, CASE 2022. In Proceedings of the 5th workshop on challenges and applications of automated extraction of socio-political events from text (case 2022), online: Association for Computational Linguistics (ACL).
Tan, F. A., Hürriyetoglu, A., Caselli, T., Oostd¼k, N., Nomoto, T., Hettiarachchi, H., . . . Hu, T. (2022). The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. In Proceedings of the language resources and evaluation conference (pp. 2298–2310). Marseille, France: European Language Resources Association.
Koolen, M., & Hoekstra, F. G. (2022). Exploiting Formulaic Language Use for Information Access: The Case of the Resolutions of the Dutch States General (1576-1796). Paper presented at UMEA Parliamentary Data Mining.
Hoekstra, F. G., & van Faassen, M. (2022). 1973: Hoog Catharijne en het Sydney Opera House. In L. Heerma van Voss, N. Bouras, M. tHart, M. van der Heijden, & L. Lucassen (Eds.), Nog meer wereldgeschiedenis van Nederland (pp. 619-624). Ambo|Anthos.
Hoekstra, F. G., Koolen, M., & van Faassen, M. (2022). Vested Authorities, Emergent Brokers and User Archivists: Power and legitimacy in information provision. ACM Journal on Computing and Cultural Heritage, 15(3), 1-20. [48]. https://doi.org/10.1145/3484481
Faassen, M. van, & Hoekstra, F. G. (2022). Migrant visibility: Digitization and heritage policies. Frontiers in Human Dynamics, 4. https://doi.org/10.3389/fhumd.2022.908456, https://doi.org/10.3389/fhumd.2022.908456/full
Sluijter, R. G. H., Oddens, J., Hoekstra, F. G., Koolen, M., Koert, van, R., Windhouwer, M., Brugman, H., & Gordijn, F. (2022). Opening the Gates to the Dutch Republic: A Comparison between Analogue and Digital Editions of the Resolutions of the States General. 158-166. Paper presented at Proceedings of the Digital Parliamentary Data in Action (DiPaDA 2022), Uppsala, Sweden. http://ceur-ws.org/Vol-3133/paper11.pdf
Koolen, M., & Hoekstra, F. G. (2022). Exploiting structure for Information Access in Serial Government Documents: the Case of the Resolutions of the States General. Paper presented at New Approaches to Editing Early Modern Parliamentary Records, Graz, Austria.
Koolen, M., & Hoekstra, F. G. (2022). Detecting Formulaic Language Use in Historical Administrative Corpora. In F. Karsdorp, A. Lassche, & K. Nielbo (Eds.), Proceedings of the Computational Humanities Research Conference 2022 (pp. 127-151). (CEUR Workshop Proceedings ; No. 3290). https://ceur-ws.org/Vol-3290/long_paper5740.pdf

2021

J. Noordegraaf, M. van Erp, R. Zijdeman, M. Raat, T. van Oort, I. Zandhuis, T. Vermaut, H. Mol, N. van der Sijs, K. Doreleijers, V. Baptist, C. Vrielink, B. Assendelft, C. Rasterhoff, and I. Kisjes, “Semantic deep mapping in the amsterdam time machine: viewing late 19th- and early 20th-century theatre and cinema culture through the lens of language use and socio-economic status,” in Research and education in urban history in the age of digital libraries: second international workshop, uhdl 2019, dresden, germany, october 10–11, 2019, revised selected papers, Springer, 2022, pp. 191-212.
B. Sartini, M. van Erp, and A. Gangemi, “Marriage is a peach and a chalice: modelling cultural symbolism on the semantic web,” in K-cap 2021, 2021.
R. Brate, A. Nesterov, V. Vogelmann, J. van Ossenbruggen, L. Hollink, and M. van Erp, “Capturing contentiousness: constructing the contentious terms in context corpus,” in K-cap 2021, 2021.
S. Schouten, V. de Boer, L. Petram, and M. van Erp, “The wind in our sails: developing a reusable and maintainable dutch maritime history knowledge graph,” in K-cap 2021, 2021.
F. Armaselu, E. Apostol, F. Khan, C. Liebeskind, B. McGillivray, C. Truica, A. Utka, G. V. Oleškevičienė, and M. van Erp, “LL(O)D and NLP perspectives on semantic change for humanities research,” Semantic web journal, 2021.
P. Lisena, M. Van Erp, C. Bembibre, and I. Leemans, “Data mining and knowledge graphs as a backbone for advanced olfactory experiences,” in Proceedings of smell, taste, and temperature interfaces (stt2021), Yokohama, Japan (online), 2021.
M. van Erp, C. Reynolds, D. Maynard, A. Starke, R. Ibañez-Martín, F. Andres, M. Leite, D. A. de Toledo, X. S. Rivera, C. Trattner, S. Brewer, C. A. Martins, A. Kluczkovski, A. Frankowski, S. Bridle, R. B. Levy, F. Rauber, J. T. da Silva, and U. Bosma, “Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food,” Frontiers in artificial intelligence, section ai in food, agriculture and water, 2021.
M. van Erp and V. de Boer, “A polyvocal and contextualised semantic web,” in Accepted to eswc 2021, 2021.
M. van Erp, “Context, complexiteit en contemporaniteit – waarom computers nog steeds moeite hebben met lezen en hoe linked data hierbij gaat helpen,” Dixit: tijdschrift over toegepaste taal- en spraaktechnologie, vol. 17, p. 10–11, 2021.

2020

B. Hendriks, P. Groth, and M. van Erp, “Recognising and linking entities in old dutchtext: a case study on voc notary records,” in Colco 2020: proceedings of the international conference collect and connect: archives and collections in a digital age, Leiden, the Netherlands, 2021.
N. Abbas, K. Alghamdi, M. Alinam, F. Alloatti, G. Amaral, C. d’Amato, L. Asprino, M. Beno, F. Bensmann, R. Biswas, L. Cai, R. Capshaw, V. A. Carriero, I. Celino, A. Dadoun, S. D. Giorgis, H. Delva, J. Domingue, M. Dumontier, V. Emonet, M. van Erp, P. E. Arias, O. Fallatah, S. Ferrada, M. G. Ocaña, M. Georgiou, G. A. Gesese, F. Gillis-Webber, F. Giovannetti, M. G. Buey, I. Harrando, I. Heibi, V. Horta, L. Huber, F. Igne, M. Y. Jaradeh, N. Keshan, A. Koleva, B. Koteich, K. Kurniawan, M. Liu, C. Ma, L. Maas, M. Mansfield, F. Mariani, E. Marzi, S. Mesbah, M. Mistry, A. C. M. Tirado, A. Nguyen, V. B. Nguyen, A. Oelen, V. Pasqual, H. Paulheim, A. Polleres, M. Porena, J. Portisch, V. Presutti, K. Pustu-Iren, A. R. Mendez, S. Roshankish, S. Rudolph, H. Sack, A. Sakor, J. Salas, T. Schleider, M. Shi, G. Spinaci, C. Sun, T. Tietz, M. T. Dhouib, A. Umbrico, W. van den Berg, and W. Xu, Knowledge graphs evolution and preservation – a technical report from isws 2019, 2020.
R. Brate, P. Groth, and M. van Erp, “Towards olfactory information extraction from text: a case study on detecting smell experiences in novels,” in Proceedings of the the 4th joint sighum workshop on computational linguistics for cultural heritage, social sciences, humanities and literature, Online, 2020, p. 147–155.
A. Meroño-Peñuela, V. de Boer, M. van Erp, R. Zijdeman, R. Mourits, W. Melder, A. Rijpma, and R. Schalk, “Ontologies in clariah: towards interoperability in history, language and media,” in “applications and practices in ontology design, extraction, and reasoning”, arxiv preprint arxiv:2004.02845, Ios press, 2020, vol. 46, pp. 73-90.
T. Tietz, M. Alam, H. Sack, and M. van Erp, “Challenges of knowledge graph evolution from an nlp perspective,” in Proceedings of whise 2020, 2020.
M. van Erp and P. Groth, “Towards entity spaces,” in Proceedings of the 12th language resources and evaluation conference, Marseille, France, 2020, p. 2129–2137.
R. Ros, M. van Erp, A. Rijpma, and R. Zijdeman, “Mining wages in nineteenth-century job advertisements. the application of language resources and language technology to study economic and social inequality,” in Proceedings of the workshop about language resources for the ssh cloud, Marseille, France, 2020, p. 27–32.
D. Deichmann, C. Moser, J. M. Birkholz, A. Nerghes, P. Groenewegen, and S. Wang, “Ideas with impact: how connectivity shapes idea diffusion,” Research policy, vol. 49, iss. 1, p. 103881, 2020.
M. Wevers and M. Koolen, “Digital begriffsgeschichte: tracing semantic change using word embeddings,” Historical methods: a journal of quantitative and interdisciplinary history, p. 1–18, 2020.
M. Wevers and T. Smits, “The visual digital turn: using neural networks to study historical images,” Digital scholarship in the humanities, vol. 35, iss. 1, p. 194–207, 2020.

2019

N. Dekker, T. Kuhn, and M. van Erp, “Evaluating named entity recognition tools for extracting social networks from novels,” Peerj computer science, vol. 5, p. e189, 2019.
I. Keles, O. Qawasmeh, T. Tietz, L. Marinucci, R. Reda, and M. Van Erp, “A proposal for a two-way journey on validating locations in unstructured and structured data,” in 2nd conference on language, data and knowledge (ldk 2019), 2019.
A. Nerghes and J. Lee, “Narratives of the refugee crisis: a comparative study of mainstream-media and twitter,” Media and communication, vol. 7, iss. 2 Refugee Crises Disclosed, p. 275–288, 2019.
M. Wevers, “Using word embeddings to examine gender bias in Dutch newspapers, 1950-1990,” in Proceedings of the 1st international workshop on computational approaches to historical language change, Florence, Italy, 2019, p. 92–97.
M. Wevers, J. Gao, and K. L. Nielbo, “Tracking the consumption junction: temporal dependencies between articles and advertisements in dutch newspapers,” Arxiv, vol. abs/1903.11461, 2019.

2018

M. van Erp, M. Wevers, and H. Huurdeman, “Constructing a recipe web from historical newspapers,” in International semantic web conference, 2018, p. 217–232. Proceedings of the workshop events and stories in the news 2018Santa Fe, New Mexico, U.S.A: Association for computational linguistics, 2018.
M. van Erp, J. de Does, K. Depuydt, R. Lenders, and T. van Goethem, “Slicing and dicing a newspaper corpus for historical ecology research,” in European knowledge acquisition workshop, 2018, p. 470–484.
J. Lee and A. Nerghes, “Refugee or migrant crisis? labels, perceived agency, and sentiment polarity in online discussions,” Social media+ society, vol. 4, iss. 3, p. 2056305118785638, 2018.
A. Nerghes and J. Lee, “The refugee/migrant crisis dichotomy on twitter: a network and sentiment perspective,” in Proceedings of the 10th acm conference on web science, 2018, p. 271–280.
A. Nerghes, P. Kerkhof, and I. Hellsten, “Early public responses to the zika-virus on youtube: prevalence of and differences between conspiracy theory and informational videos,” in Proceedings of the 10th acm conference on web science, 2018, p. 127–134.
M. Wevers, “1928: coca-cola en de moderne consumptiemaatschappij,” in Wereldgeschiedenis van nederland, Amboanthos, 2018.
M. Wevers and T. Smits, “Seeing history: analyzing large-scale historical visual datasets using deep neural networks,” , 2018.
M. Wevers, J. van Lottum, and M. van Erp, “Van kranten tot scheepspapieren en processtukken: rijkdom en verrijking van digitale bronnen voor onderzoek,” Archievenblad, vol. 122, iss. 3, p. 10–14, 2018.

2017

M. Van Erp, T. van Goethem, K. Depuydt, and J. de Does, “Towards semantic enrichment of newspapers: a historical ecology use case.,” in Whise@ iswc, 2017, p. 39–44.
L. Derczynski, E. Nichols, M. van Erp, and N. Limsopatham, “Results of the wnut2017 shared task on novel and emerging entity recognition,” in Proceedings of the 3rd workshop on noisy user-generated text, 2017, p. 140–147.
F. Armaselu, E. Apostol, A. F. Khan, C. Liebeskind, B. McGillivray, C. Truic{u{a}}, A. Utka, G. Val{=u}nait{.e} Oleškevičien{.e}, and M. van Erp, “Ll (o) d and nlp perspectives on semantic change for humanities research,” Semantic web, iss. Preprint, p. 1–30.