Bosch, prof.dr. A. van den (Antal)
Director
- antal.van.den.bosch@meertens.knaw.nl
- telephone
- 020 4628 523
- contribution to journal
- contribution to book anthology
- contribution to conference
- book (author)
- public engagement
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
De Troij, Robbert et al. “Lexicon or grammar? Using memory-based learning to investigate the syntactic relationship between Belgian and Netherlandic Dutch”. Natural Language Engineering. 2021, 1-19. https://doi.org/10.1017/s1351324921000097
Smeets, Roel, Maarten De Pourcq, and A. van den Bosch. “Modeling Conflict: Representations of Social Groups in Present-Day Dutch Literature”. Journal of Cultural Analytics. 2021, 6. 1-31. https://doi.org/10.22148/001c.24722
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
Lopopolo, Alessandro et al. “Distinguishing syntactic operations in the brain: Dependency and phrase-structure parsing”. Neurobiology of Language. 2020, 1-64. https://doi.org/10.1162/nol_a_00029
Tsoukala, Chara et al. “Modeling the auxiliary phrase asymmetry in code-switched Spanish–English”. Bilingualism: Language and Cognition. 2020, 1-10. https://doi.org/10.1017/S1366728920000449
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
Tsoukala, Chara et al. “Simulating Code-switching Using a Neural Network Model of Bilingual Sentence Production”. Computational Brain & Behavior. 2020. https://doi.org/10.1007/s42113-020-00088-6
Grondelaers, Stefan et al. “Vissen naar variatie: Digitaal op zoek naar onbekende Noord/Zuid-verschillen in de grammatica van het Nederlands”. Nederlandse Taalkunde. 2020, 25(1). 73-99.
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).
Armeni, Kristijan et al. “Frequency-specific brain dynamics related to prediction during language comprehension”. NeuroImage. 2019, 198. 283-295. https://doi.org/10.1016/j.neuroimage.2019.04.083
Beeksma, Merijn et al. “Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records”. BMC Medical Informatics and Decision Making. 2019. 19(36). https://doi.org/10.1186/s12911-019-0775-2
Verberne, Suzan et al. “Query-based summarization of discussion threads”. Natural Language Engineering. 2019. https://doi.org/10.1017/S1351324919000123
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
Verberne, Suzan et al. “Creating a reference data set for the summarization of discussion forum threads”. Language Resources and Evaluation. 2017, 1-23. https://doi.org/10.1007/s10579-017-9389-4
Hendrickx, Iris et al. “Unraveling reported dreams with text analytics”. Digital Humanities Quarterly. 2017. 11(4).
Lopopolo, Alessandro et al. “Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain”. PLoS One. 2017. https://doi.org/10.1371/journal.pone.0177794
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.
Waterschoot, Cedric, A. van den Bosch, and E. van den Hemel “Detecting Minority Arguments for Mutual Understanding: A Moderation Tool for the Online Climate Change Debate”. Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics. 2022, 6715-6725.
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
Bentum, Martijn et al. “Listening with great expectations: An investigation of word form anticipations in naturalistic speech”. Proc. Interspeech 2019. 2019, 2265-2269. https://doi.org/10.21437/Interspeech.2019-2741
Smeets, Roel, Eric Sanders, and A. van den Bosch “Modelling Conflicts Between Characters in Present-Day Dutch Literary Fiction”. Proceedings of DH2019. Utrecht. 2019.
Bentum, Martijn et al. “Quantifying Expectation Modulation in Human Speech Processing”. Proc. Interspeech 2019. 2019, 2270-2274. https://doi.org/10.21437/Interspeech.2019-2685
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)
