Publications

2021

  • 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.
    [Bibtex]
    @inproceedings{sartini2021marriage,
    title={Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the Semantic Web},
    author={Sartini, Bruno and van Erp, Marieke and Gangemi, Aldo},
    booktitle={K-CAP 2021},
    publisher = {ACM},
    year={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.
    [Bibtex]
    @inproceedings{brate2021capturing,
    title={Capturing Contentiousness: Constructing the Contentious Terms in Context Corpus},
    author={Brate, Ryan and Nesterov, Andrei and Vogelmann, Valentin and van Ossenbruggen, Jacco and Hollink, Laura and van Erp, Marieke},
    booktitle = {K-CAP 2021},
    publisher = {ACM},
    year={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.
    [Bibtex]
    @inproceedings{schouten2021wind,
    title={The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph},
    author={Schouten, Stijn and de Boer, Victor and Petram, Lodewijk and van Erp, Marieke},
    booktitle = {K-CAP 2021},
    publisher = {ACM},
    year={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.
    [Bibtex]
    @article{swj2848,
    author = {Florentina Armaselu and Elena-Simona Apostol and Fahad Khan and Chaya Liebeskind and Barbara McGillivray and Ciprian-Octavian Truica and Andrius Utka and Giedrė Valūnaitė Oleškevičienė and Marieke van Erp},
    title = {{LL(O)D} and {NLP} Perspectives on Semantic Change for Humanities Research},
    journal = {Semantic Web Journal},
    publisher = {IOS Press},
    year = {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.
    [Bibtex]
    @inproceedings{lisena2021data,
    title={Data Mining and Knowledge Graphs as a Backbone for Advanced Olfactory Experiences},
    author={Lisena, Pasquale and Van Erp, Marieke and Bembibre, Cecilia and Leemans, Inger},
    booktitle={Proceedings of Smell, Taste, and Temperature Interfaces (STT2021)},
    address={Yokohama, Japan (online)},
    month={7--9 May},
    year={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.
    [Bibtex]
    @article{vanerp2021frontiers,
    author={Marieke van Erp and Christian Reynolds and Diana Maynard and Alain Starke and Rebeca Iba\~{n}ez-Mart\'{i}n and Frederic Andres and Maria Leite and Damien Alvarez de Toledo and Ximena Schmidt Rivera and Christoph Trattner and Steven Brewer and Carla Adriano Martins and Alana Kluczkovski and Angelina Frankowski and Sarah Bridle and Renata Bertazzi Levy and Fernanda Rauber and Jacqueline Tereza da Silva and Ulbe Bosma},
    title = {Using Natural Language Processing and Artificial Intelligence to explore the nutrition and sustainability of recipes and food },
    journal = {Frontiers in Artificial Intelligence, section AI in Food, Agriculture and Water},
    year = {2021},
    url = {https://www.frontiersin.org/articles/10.3389/frai.2020.621577/full},
    }
  • M. van Erp and V. de Boer, “A polyvocal and contextualised semantic web,” in Accepted to eswc 2021, 2021.
    [Bibtex]
    @inproceedings{vanerp2021polyvocal,
    author = {Marieke van Erp and Victor de Boer},
    title = {A Polyvocal and Contextualised Semantic Web},
    booktitle = {Accepted to ESWC 2021},
    year = {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.
    [Bibtex]
    @article{vanerp2021dixit,
    author = {Marieke van Erp},
    title = {Context, Complexiteit en Contemporaniteit - Waarom computers nog steeds moeite hebben met lezen en hoe Linked Data hierbij gaat helpen},
    journal = {DIXIT: Tijdschrift over toegepaste taal- en spraaktechnologie},
    pages = {10--11},
    volume = {17},
    issue = {TST van Betekenis},
    month = {Jan},
    year = {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.
    [Bibtex]
    @inproceedings{hendriks2021voc,
    title = {Recognising and Linking Entities in Old DutchText: A Case Study on VOC Notary Records},
    author= {Barry Hendriks and Paul Groth and Marieke van Erp},
    booktitle = {COLCO 2020: Proceedings of the International Conference Collect and Connect: Archives and Collections in a Digital Age},
    year={2021},
    url={http://ceur-ws.org/Vol-2810/paper3.pdf},
    address={Leiden, the Netherlands},
    }

2020

  • 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.
    [Bibtex]
    @misc{abbas2020knowledge,
    title={Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019},
    author={Nacira Abbas and Kholoud Alghamdi and Mortaza Alinam and Francesca Alloatti and Glenda Amaral and Claudia d'Amato and Luigi Asprino and Martin Beno and Felix Bensmann and Russa Biswas and Ling Cai and Riley Capshaw and Valentina Anita Carriero and Irene Celino and Amine Dadoun and Stefano De Giorgis and Harm Delva and John Domingue and Michel Dumontier and Vincent Emonet and Marieke van Erp and Paola Espinoza Arias and Omaima Fallatah and Sebastián Ferrada and Marc Gallofré Ocaña and Michalis Georgiou and Genet Asefa Gesese and Frances Gillis-Webber and Francesca Giovannetti and Marìa Granados Buey and Ismail Harrando and Ivan Heibi and Vitor Horta and Laurine Huber and Federico Igne and Mohamad Yaser Jaradeh and Neha Keshan and Aneta Koleva and Bilal Koteich and Kabul Kurniawan and Mengya Liu and Chuangtao Ma and Lientje Maas and Martin Mansfield and Fabio Mariani and Eleonora Marzi and Sepideh Mesbah and Maheshkumar Mistry and Alba Catalina Morales Tirado and Anna Nguyen and Viet Bach Nguyen and Allard Oelen and Valentina Pasqual and Heiko Paulheim and Axel Polleres and Margherita Porena and Jan Portisch and Valentina Presutti and Kader Pustu-Iren and Ariam Rivas Mendez and Soheil Roshankish and Sebastian Rudolph and Harald Sack and Ahmad Sakor and Jaime Salas and Thomas Schleider and Meilin Shi and Gianmarco Spinaci and Chang Sun and Tabea Tietz and Molka Tounsi Dhouib and Alessandro Umbrico and Wouter van den Berg and Weiqin Xu},
    year={2020},
    eprint={2012.11936},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
    }
  • 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.
    [Bibtex]
    @inproceedings{brate-etal-2020-towards,
    title = "Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels",
    author = "Brate, Ryan and
    Groth, Paul and
    van Erp, Marieke",
    booktitle = "Proceedings of the The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
    month = dec,
    year = "2020",
    address = "Online",
    publisher = "International Committee on Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.latechclfl-1.18",
    pages = "147--155",
    abstract = "Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them. Descriptions of smells in text, or as we call them {`}smell experiences{'}, offer a window into these factors, but they must first be identified. To the best of our knowledge, no tool exists to extract references to smell experiences from text. In this paper, we present two variations on a semi-supervised approach to identify smell experiences in English literature. The combined set of patterns from both implementations offer significantly better performance than a keyword-based baseline.",
    }
  • [DOI] 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.
    [Bibtex]
    @inbook{merono2020ontologies,
    title={Ontologies in CLARIAH: Towards Interoperability in History, Language and Media},
    author={Mero{\~n}o-Pe{\~n}uela, Albert and de Boer, Victor and van Erp, Marieke and Zijdeman, Richard and Mourits, Rick and Melder, Willem and Rijpma, Auke and Schalk, Ruben},
    booktitle={"Applications and Practices in Ontology Design, Extraction, and Reasoning", arXiv preprint arXiv:2004.02845},
    pages = {73-90},
    doi = {10.3233/SSW200036},
    publisher = {IOS Press},
    editors = {Giuseppe Cota and Marilena Daquino and Gian Luca Pozzato},
    volume = {46},
    series = {Studies on the Semantic Web},
    isbn = {978-1-64368-142-9 (print) | 978-1-64368-143-6 (online)},
    year={2020}
    }
  • 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.
    [Bibtex]
    @inproceedings{tietzchallenges,
    title={Challenges of Knowledge Graph Evolution from an NLP Perspective},
    author={Tietz, Tabea and Alam, Mehwish and Sack, Harald and van Erp, Marieke},
    booktitle={Proceedings of WHiSE 2020},
    year={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.
    [Bibtex]
    @inproceedings{van-erp-groth-2020-towards,
    title = "Towards Entity Spaces",
    author = "van Erp, Marieke and
    Groth, Paul",
    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.261",
    pages = "2129--2137",
    abstract = "Entities are a central element of knowledge bases and are important input to many knowledge-centric tasks including text analysis. For example, they allow us to find documents relevant to a specific entity irrespective of the underlying syntactic expression within a document. However, the entities that are commonly represented in knowledge bases are often a simplification of what is truly being referred to in text. For example, in a knowledge base, we may have an entity for Germany as a country but not for the more fuzzy concept of Germany that covers notions of German Population, German Drivers, and the German Government. Inspired by recent advances in contextual word embeddings, we introduce the concept of entity spaces - specific representations of a set of associated entities with near-identity. Thus, these entity spaces provide a handle to an amorphous grouping of entities. We developed a proof-of-concept for English showing how, through the introduction of entity spaces in the form of disambiguation pages, the recall of entity linking can be improved.",
    language = "English",
    ISBN = "979-10-95546-34-4",
    }
  • 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.
    [Bibtex]
    @inproceedings{ros-etal-2020-mining,
    title = "Mining Wages in Nineteenth-Century Job Advertisements. The Application of Language Resources and Language Technology to study Economic and Social Inequality",
    author = "Ros, Ruben and
    van Erp, Marieke and
    Rijpma, Auke and
    Zijdeman, Richard",
    booktitle = "Proceedings of the Workshop about Language Resources for the SSH Cloud",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lr4sshoc-1.5",
    pages = "27--32",
    abstract = "For the analysis of historical wage development, no structured data is available. Job advertisements, as found in newspapers can provide insights into what different types of jobs paid, but require language technology to structure in a format conducive to quantitative analysis. In this paper, we report on our experiments to mine wages from 19th century newspaper advertisements and detail the challenges that need to be overcome to perform a socio-economic analysis of textual data sources.",
    language = "English",
    ISBN = "979-10-95546-43-6",
    }
  • 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.
    [Bibtex]
    @article{deichmann2020ideas,
    title={Ideas with impact: How connectivity shapes idea diffusion},
    author={Deichmann, Dirk and Moser, Christine and Birkholz, Julie M and Nerghes, Adina and Groenewegen, Peter and Wang, Shenghui},
    journal={Research policy},
    volume={49},
    number={1},
    pages={103881},
    year={2020},
    publisher={Elsevier}
    }
  • 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.
    [Bibtex]
    @article{wevers2020digital,
    title={Digital begriffsgeschichte: Tracing semantic change using word embeddings},
    author={Wevers, Melvin and Koolen, Marijn},
    journal={Historical Methods: A Journal of Quantitative and Interdisciplinary History},
    pages={1--18},
    year={2020},
    publisher={Taylor \& Francis}
    }
  • 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.
    [Bibtex]
    @article{wevers2020visual,
    title={The visual digital turn: Using neural networks to study historical images},
    author={Wevers, Melvin and Smits, Thomas},
    journal={Digital Scholarship in the Humanities},
    volume={35},
    number={1},
    pages={194--207},
    year={2020},
    publisher={Oxford University Press}
    }

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.
    [Bibtex]
    @article{dekker2019evaluating,
    title={Evaluating named entity recognition tools for extracting social networks from novels},
    author={Dekker, Niels and Kuhn, Tobias and van Erp, Marieke},
    journal={PeerJ Computer Science},
    volume={5},
    pages={e189},
    year={2019},
    publisher={PeerJ Inc.}
    }
  • 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.
    [Bibtex]
    @inproceedings{keles2019proposal,
    title={A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data},
    author={Keles, Ilkcan and Qawasmeh, Omar and Tietz, Tabea and Marinucci, Ludovica and Reda, Roberto and Van Erp, Marieke},
    booktitle={2nd Conference on Language, Data and Knowledge (LDK 2019)},
    year={2019},
    organization={Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik}
    }
  • 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.
    [Bibtex]
    @article{nerghes2019narratives,
    title={Narratives of the refugee crisis: A comparative study of mainstream-media and Twitter},
    author={Nerghes, Adina and Lee, Ju-Sung},
    journal={Media and Communication},
    volume={7},
    number={2 Refugee Crises Disclosed},
    pages={275--288},
    year={2019}
    }
  • [DOI] 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.
    [Bibtex]
    @inproceedings{wevers-2019-using,
    title = "Using Word Embeddings to Examine Gender Bias in {D}utch Newspapers, 1950-1990",
    author = "Wevers, Melvin",
    booktitle = "Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W19-4712",
    doi = "10.18653/v1/W19-4712",
    pages = "92--97",
    abstract = "Contemporary debates on filter bubbles and polarization in public and social media raise the question to what extent news media of the past exhibited biases. This paper specifically examines bias related to gender in six Dutch national newspapers between 1950 and 1990. We measure bias related to gender by comparing local changes in word embedding models trained on newspapers with divergent ideological backgrounds. We demonstrate clear differences in gender bias and changes within and between newspapers over time. In relation to themes such as sexuality and leisure, we see the bias moving toward women, whereas, generally, the bias shifts in the direction of men, despite growing female employment number and feminist movements. Even though Dutch society became less stratified ideologically (depillarization), we found an increasing divergence in gender bias between religious and social-democratic on the one hand and liberal newspapers on the other. Methodologically, this paper illustrates how word embeddings can be used to examine historical language change. Future work will investigate how fine-tuning deep contextualized embedding models, such as ELMO, might be used for similar tasks with greater contextual information.",
    }
  • 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.
    [Bibtex]
    @article{Wevers2019TrackingTC,
    title={Tracking the Consumption Junction: Temporal Dependencies between Articles and Advertisements in Dutch Newspapers},
    author={Melvin Wevers and Jianbo Gao and Kristoffer L. Nielbo},
    journal={ArXiv},
    year={2019},
    volume={abs/1903.11461}
    }

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.
    [Bibtex]
    @inproceedings{van2018constructing,
    title={Constructing a recipe web from historical newspapers},
    author={van Erp, Marieke and Wevers, Melvin and Huurdeman, Hugo},
    booktitle={International Semantic Web Conference},
    pages={217--232},
    year={2018},
    organization={Springer}
    }
  • Proceedings of the workshop events and stories in the news 2018Santa Fe, New Mexico, U.S.A: Association for computational linguistics, 2018.
    [Bibtex]
    @proceedings{ws-2018-events,
    title = "Proceedings of the Workshop Events and Stories in the News 2018",
    editor = "Caselli, Tommaso and
    Miller, Ben and
    van Erp, Marieke and
    Vossen, Piek and
    Palmer, Martha and
    Hovy, Eduard and
    Mitamura, Teruko and
    Caswell, David and
    Brown, Susan W. and
    Bonial, Claire",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, U.S.A",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W18-4300",
    }
  • 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.
    [Bibtex]
    @inproceedings{van2018slicing,
    title={Slicing and dicing a newspaper corpus for historical ecology research},
    author={van Erp, Marieke and de Does, Jesse and Depuydt, Katrien and Lenders, Rob and van Goethem, Thomas},
    booktitle={European Knowledge Acquisition Workshop},
    pages={470--484},
    year={2018},
    organization={Springer}
    }
  • 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.
    [Bibtex]
    @article{lee2018refugee,
    title={Refugee or migrant crisis? Labels, perceived agency, and sentiment polarity in online discussions},
    author={Lee, Ju-Sung and Nerghes, Adina},
    journal={Social Media+ Society},
    volume={4},
    number={3},
    pages={2056305118785638},
    year={2018},
    publisher={SAGE Publications Sage UK: London, England}
    }
  • 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.
    [Bibtex]
    @inproceedings{nerghes2018refugee,
    title={The refugee/migrant crisis dichotomy on Twitter: A network and sentiment perspective},
    author={Nerghes, Adina and Lee, Ju-Sung},
    booktitle={Proceedings of the 10th ACM conference on web science},
    pages={271--280},
    year={2018}
    }
  • 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.
    [Bibtex]
    @inproceedings{nerghes2018early,
    title={Early public responses to the Zika-virus on YouTube: Prevalence of and differences between conspiracy theory and informational videos},
    author={Nerghes, Adina and Kerkhof, Peter and Hellsten, Iina},
    booktitle={Proceedings of the 10th ACM Conference on Web Science},
    pages={127--134},
    year={2018}
    }
  • M. Wevers, “1928: coca-cola en de moderne consumptiemaatschappij,” in Wereldgeschiedenis van nederland, Amboanthos, 2018.
    [Bibtex]
    @inbook{wevers20181928,
    title={1928: Coca-Cola en de moderne consumptiemaatschappij},
    author={Wevers, Melvin},
    booktitle={Wereldgeschiedenis van Nederland},
    year={2018},
    publisher={AmboAnthos}
    }
  • M. Wevers and T. Smits, “Seeing history: analyzing large-scale historical visual datasets using deep neural networks,” , 2018.
    [Bibtex]
    @article{wevers2018seeing,
    title={Seeing History: Analyzing Large-scale Historical Visual Datasets Using Deep Neural Networks},
    author={Wevers, Melvin and Smits, Thomas},
    year={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.
    [Bibtex]
    @article{wevers2018van,
    title={Van kranten tot scheepspapieren en processtukken: Rijkdom en verrijking van digitale bronnen voor onderzoek},
    author={Wevers, Melvin and van Lottum, Jelle and van Erp, Marieke},
    journal={Archievenblad},
    volume={122},
    number={3},
    pages={10--14},
    year={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.
    [Bibtex]
    @inproceedings{van2017towards,
    title={Towards Semantic Enrichment of Newspapers: A Historical Ecology Use Case.},
    author={Van Erp, Marieke and van Goethem, Thomas and Depuydt, Katrien and de Does, Jesse},
    booktitle={WHiSe@ ISWC},
    pages={39--44},
    year={2017}
    }
  • 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.
    [Bibtex]
    @inproceedings{derczynski2017results,
    title={Results of the WNUT2017 shared task on novel and emerging entity recognition},
    author={Derczynski, Leon and Nichols, Eric and van Erp, Marieke and Limsopatham, Nut},
    booktitle={Proceedings of the 3rd Workshop on Noisy User-generated Text},
    pages={140--147},
    year={2017}
    }