Publications

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.