The swell knowledge work dataset for stress and user modeling research S Koldijk, M Sappelli, S Verberne, MA Neerincx, W Kraaij Proceedings of the 16th international conference on multimodal interaction …, 2014 | 218 | 2014 |
Evaluating discourse-based answer extraction for why-question answering S Verberne, L Boves, N Oostdijk, PA Coppen Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 89 | 2007 |
Discourse-based answering of why-questions S Verberne, L Boves, N Oostdijk, PA Coppen Traitement Automatique des Langues, Discours et document: traitements …, 2007 | 78 | 2007 |
What Is Not in the Bag of Words for Why-QA? S Verberne, L Boves, N Oostdijk, PA Coppen Computational Linguistics 36 (2), 229-245, 2010 | 76 | 2010 |
Context-sensitive spell checking based on word trigram probabilities S Verberne Master’s thesis, University of Nijmegen, 2002 | 75 | 2002 |
Creating a dataset for named entity recognition in the archaeology domain A Brandsen, S Verberne, K Lambers, Wansleeben Conference Proceedings LREC 2020, 4573–4577, 2020 | 73 | 2020 |
Text representations for patent classification E D'hondt, S Verberne, C Koster, L Boves Computational Linguistics 39 (3), 755-775, 2013 | 73 | 2013 |
Quantifying the challenges in parsing patent claims S Verberne, EKL D'hondt, NHJ Oostdijk, CHA Koster [Sl]:[sn], 2010 | 62 | 2010 |
Learning to rank for why-question answering S Verberne, H van Halteren, D Theijssen, S Raaijmakers, L Boves Information Retrieval 14, 107-132, 2011 | 59 | 2011 |
Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records M Beeksma, S Verberne, A van den Bosch, E Das, I Hendrickx, ... BMC medical informatics and decision making 19 (1), 36, 2019 | 54 | 2019 |
Using syntactic information for improving why-question answering S Verberne, LW Boves, NHJ Oostdijk, P Coppen East Stroudsburg: Association of Computational Linguistics, 2008 | 53 | 2008 |
Evaluation and analysis of term scoring methods for term extraction S Verberne, M Sappelli, D Hiemstra, W Kraaij Information Retrieval Journal 19, 510-545, 2016 | 52 | 2016 |
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter A Magge, E Tutubalina, Z Miftahutdinov, I Alimova, A Dirkson, S Verberne, ... Journal of the American Medical Informatics Association 28 (10), 2184-2192, 2021 | 49 | 2021 |
Can BERT dig it? named entity recognition for information retrieval in the archaeology domain A Brandsen, S Verberne, K Lambers, M Wansleeben Journal on Computing and Cultural Heritage (JOCCH) 15 (3), 1-18, 2022 | 46 | 2022 |
Online support community for adolescents and young adults (AYAs) with cancer: user statistics, evaluation, and content analysis SEJ Kaal, O Husson, F van Dartel, K Hermans, R Jansen, E Manten-Horst, ... Patient preference and adherence, 2615-2622, 2018 | 46 | 2018 |
Overview of the CLEF 2016 social book search lab M Koolen, T Bogers, M Gäde, M Hall, I Hendrickx, H Huurdeman, J Kamps, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 7th …, 2016 | 39 | 2016 |
Developing an approach for why-question answering S Verberne Student Research Workshop, 39-46, 2006 | 39 | 2006 |
User simulations for interactive search: Evaluating personalized query suggestion S Verberne, M Sappelli, K Järvelin, W Kraaij Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 37 | 2015 |
DoSSIER@ COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval S Althammer, A Askari, S Verberne, A Hanbury arXiv preprint arXiv:2108.03937, 2021 | 35 | 2021 |
Assessing e-mail intent and tasks in e-mail messages M Sappelli, G Pasi, S Verberne, M de Boer, W Kraaij Information Sciences 358, 1-17, 2016 | 34 | 2016 |