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Bosch, prof.dr. A. van den (Antal)

Director

email
antal.van.den.bosch@meertens.knaw.nl
telephone
020 4628 523

more information

2022

Yang, Jinbiao, A. van den Bosch and Stefan L. Frank. “Unsupervised Text Segmentation Predicts Eye Fixations During Reading”. Frontiers in Artificial Intelligence. 2022. 5. https://doi.org/10.3389/frai.2022.731615

2021

2020

Kunneman, Florian A. Margot van Mulken, and A. van den Bosch. “Anticipointment Detection in Event Tweets”. International Journal on Artificial Intelligence Tools. 2020. 29(2). https://doi.org/10.1142/S0218213020400011
Kunneman, Florian et al. “Monitoring stance towards vaccination in twitter messages”. BMC Medical Informatics and Decision Making. 2020. 20. https://doi.org/10.1186/s12911-020-1046-y

2019

van Craenenbroeck, Jeroen, Marjo van Koppen, and Antal van den Bosch. “A quantitative-theoretical analysis of syntactic microvariation: Word order in Dutch verb clusters”. Language. 2019, 95(2). 333-370.
Smeets, Roel, Eric Sanders, and A. van den Bosch. “Character Centrality in Present-Day Dutch Literary Fiction”. DH Benelux Journal. 2019, 1. 71-90.
Bentum, Martijn et al. “Do speech registers differ in the predictability of words?”. International Journal of Corpus Linguistics. 2019. 24(1).
Tsoukala, Chara et al. “Simulating Spanish-English Code-Switching: El Modelo Está Generating Code-Switches”. Proceedings of the 41st Annual Conference of the Cognitive Science Society. 2019, 20-29. https://doi.org/10.31234/osf.io/mgcbs
van der Deijl, Lucas, Roel Smeets, and A. van den Bosch. “The Canon of Dutch Literature According to Google”. Journal of Cultural Analytics. 2019. https://doi.org/10.22148/16.046
Croijmans, Ilja et al. “Uncovering the language of wine experts”. Natural Language Engineering. 2019, 1-20. https://doi.org/10.1017/S1351324919000500

2018

Tellings, Agnes et al. “BasiScript”. International Journal of Corpus Linguistics. 2018, 23(4). 494-508. https://doi.org/10.1075/ijcl.17086.tel
Tellings, Agnes et al. “Spelling errors of 24 cohorts of children across primary school 2012-2015: A corpus study”. Computational Linguistics in the Netherlands Journal. 2018, 8. 83-98.

2017

2021

van den Bosch, A. “Waar is Irma? Vragen op sociale media in coronatijd”. and van Oostendorp, Marc Wolff, Simone (ed.). Viraal Nederland: Taal en cultuur van de eerste golf. Uitgeverij Sterck & De Vreese. 2021, 20-27.

2019

Hendrickx, Iris et al. “A multilingual wikified data set of educational material”. LREC 2018 – 11th International Conference on Language Resources and Evaluation. LREC 2018 – 11th International Conference on Language Resources and Evaluation. European Language Resources Association (ELRA). 2019, 467-473.
van den Bosch, A. J. Berns and P.A. Henderickx “Dirk Peter (Dick) Blok”. Levensberichten en herdenkingen 2019. Koninklijke Nederlandse Akademie van Wetenschappen (KNAW). 2019, 40-49.

2018

Hürriyetoǧlu, Ali, Nelleke Oostdijk, and Antal van den Bosch “Estimating time to event of future events based on linguistic cues on twitter”. Studies in Computational Intelligence. Studies in Computational Intelligence. Springer Verlag GmbH. 2018, 67-97. https://doi.org/10.1007/978-3-319-67056-0_5

2017

van Noord, Rik, Florian A. Kunneman, and Antal van den Bosch “Predicting Civil Unrest by Categorizing Dutch Twitter Events”. BNAIC 2016: ARTIFICIAL INTELLIGENCE. Communications in Computer and Information Science. 2017, 3-16. https://doi.org/10.1007/978-3-319-67468-1_1

2022

Sanders, Eric and A. van den Bosch Correlating political party names in tweets, newspapers and election results. First Workshop on Natural Language Processing for Political Sciences, 24 Jun 2022, Marseille, France, Paper, 2022.

2021

Waterschoot, Cedric, Antal van den Bosch, and Ernst van den Hemel “Calculating Argument Diversity in Online Threads”. Gromann, Dagmar, Sérasset, Gilles, Declerck, Thierry and McCrae, John P. Gracia, Jorge Bosque-Gil, Julia Bobillo, Fernando Heinisch, Barbara (ed.). 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs). Dagstuhl, Germany: OASICS Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany. 2021, 39:1-39:9. https://doi.org/10.4230/OASIcs.LDK.2021.39

2020

Yang, Jinbiao, Stefan Frank, and A. van den Bosch “Less is Better: A cognitively inspired unsupervised model for language segmentation”. Proceedings of the Workshop on the Cognitive Aspects of the Lexicon. Association for Computational Linguistics (ACL). 2020, 33-45.
Sanders, Eric and A. van den Bosch “Optimising Twitter-based Political Election Prediction with Relevance and Sentiment Filters”. Proceedings of the 12th Language Resources and Evaluation Conference. Marseille, France: European Language Resources Association (ELRA). 2020, 6160‑6167.

2019

Başar, Erkan, Simge Ekiz, and Antal Van Den Bosch A comparative study on generalizability of information extraction models on protest news. Paper, 2019.
Sanders, Eric and A. van den Bosch “A Longitudinal Study on Twitter-Based Forecasting of Five Dutch National Elections”. Social Informatics: SocInfo 2019. Lecture Notes in Computer Science. Urbana-Champaign: Springer. 2019, 128-142. https://doi.org/10.1007/978-3-030-34971-4_9
Lopopolo, Alessandro et al. “Dependency Parsing with your Eyes: Dependency Structure Predicts Eye Regressions During Reading”. Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. Minneapolis, Minnesota: Association for Computational Linguistics (ACL). 2019, 77-85.
Stoop, Wessel et al. “Detecting harassment in real-time as conversations develop”. Proceedings of the Third Workshop on Abusive Language Online. Florence, Italy: Association for Computational Linguistics (ACL). 2019, 19-24. https://doi.org/10.18653/v1/W19-3503
Smeets, Roel, Eric Sanders, and A. van den Bosch “Modelling Conflicts Between Characters in Present-Day Dutch Literary Fiction”. Proceedings of DH2019. Utrecht. 2019.
Kunneman, Florian et al. “Question similarity in community question answering: A systematic exploration of preprocessing methods and models”. Angelova, Galia, Mitkov, Ruslan Nikolova, Ivelina Temnikova, Irina Temnikova, Irina (ed.). International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 – Proceedings. International Conference Recent Advances in Natural Language Processing, RANLP. Incoma Ltd. 2019, 593-601. https://doi.org/10.26615/978-954-452-056-4_070
Tsoukala, Chara et al. “Simulating Spanish-English Code-Switching: El Modelo Está Generating Code-Switches”. Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. Minneapolis, Minnesota: Association for Computational Linguistics (ACL). 2019, 20-29.

2018

Kunneman, Florian et al. “Aspect-based summarization of pros and cons in unstructured product reviews”. Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA. 2018, 2219.
Lefever, Els et al. Discovering the Language of Wine Reviews: A Text Mining Account. Eleventh International Conference on Language Resources and Evaluation, 07 May 2018, Miyazaki, Japan, Paper, 2018.
Lopopolo, Alessandro et al. The Narrative Brain Dataset (NBD), an fMRI dataset for the study of natural language processing in the brain. First Workshop on Linguistic and Neuro-cognitive Resources, 08 May 2018, Miyazaki, Japan, Paper, 2018.

2017

Verberne, Suzan et al. “Automatic summarization of domain-specific forum threads: Collecting reference data”. Proceedings of the 2017 Conference on Human Information Interaction and Retrieval (CHIIR-2017). Association for Computing Machinery (ACM). 2017, 253-256.
van der Lee, Chris and Antal van den Bosch “Exploring lexical and syntactic features for language variety identification”. Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial). 2017, 190-199.
Hasanuzzaman, Mohammed et al. “Overview of the 4th Histolnformatics Workshop”. CIKM ’17: Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM). 2017. https://doi.org/10.1145/3132847.3133197
Hürriyetoglu, Ali et al. “Supporting experts to handle tweet collections about significant events”. Frasincar, F. and Ittoo, A. Nguyen, L. Metais, E. (ed.). Natural Language Processing and Information Systems (NLDB 2017). Springer. 2017, 138-141. https://doi.org/10.1007/978-3-319-59569-6_14

2019

A. van den Bosch (2019). Dier, mens, machine: een driegesprek. 11-11-2019. (Publiekssymposium De Boerderij)