Suzan Verberne
Associate professor
- Name
- Dr. S. Verberne
- Telephone
- +31 71 527 7043
- s.verberne@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-9609-9505
News
-
Journalists, online media professionals and researchers come together for second edition of MISDOOM -
‘I always thought I was immune to stress, but now I’m not so sure’ -
Helping low-income families in energy transition -
Leiden University as source of inspiration for new Master's programme in Artificial Intelligence and Data Science -
Fifty percent chance you've reacted to junk news at least once -
LIACS part of Horizon 2020 project about social media analytics -
These are the five Leiden highlights of ICT.OPEN -
Millions of people like and share junk news on Facebook -
First session of new series of grants matchmaking events well visited -
LIACS scientists in Dutch media on impact Cambridge Analytica storm -
Vote for Discoverer of the Year 2017 -
More effective data-driven policymaking
Links
Associate professor
- Science
- Leiden Inst. Advanced Computer Sciences
- Brandsen A., Verberne S., Lambers K. & Wansleeben M. (2020), Creating a Dataset for Named Entity Recognition in the Archaeology Domain. In: Calzolari N., Béchet F., Blache P., Choukri K., Cieri C., Declerck T., Goggi S., Isahara H., Maegaard B., Mariani J., Mazo H., Moreno A., Odijk J., Piperidis S. (Eds.) Conference Proceedings LREC 2020. Marseilles: The European Language Resources Association. 4573–4577.
- Dirkson A.R., Verberne S., Sarker A. & Kraaij W. (2019), Data-Driven Lexical Normalization for Medical Social Media, Multimodal Technologies and Interaction 3(3): 60.
- Dirkson A.R., Verberne S. & Kraaij W. (2019), Lexical Normalization of User-Generated Medical Forum Data. In: Weissenbacher D., Gonzalez-Hernandez G. (Eds.) Proceedings of the Fourth Social Media Mining for Health Applications (SMM4H) Workshop & Shared Task.: Association for Computational Linguistics. 11-20.
- Burger J.P., Kanhai S., Pleijter A.R.J. & Verberne S. (2019), The reach of commercially motivated junk news on Facebook, PLoS ONE 14(8): e0220446.
- Kraaij W., Verberne S., Koldijk S., Korte E. de, Dantzig S. van, Sappelli M., Shoaib M., Bosems S., Achterkamp R., Bonomi A., Schavemaker J., Hulsebosch B., Wabeke T., Vollenbroek-Hutten M., Neerincx M. & Sinderen M. van (2020), Personalized support for well-being at work: an overview of the SWELL project, User Modeling and User-Adapted Interaction 30: 413-446.
- Verberne S., Batenburg A., Sanders R., Eenbergen M. van, Das E. & Lambooij M.S. (2019), Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach, JMIR Cancer 5(1): e9887.
- Verberne S., Krahmer E., Wubben S. & Bosch A. van den (2019), Query-based summarization of discussion threads, Natural Language Engineering 26(1): 3-29.
- Dirkson A.R., Verberne S. & Kraaij W. (2019), Narrative Detection in Online Patient Communities. In: Jorge A.M., Campos R., Jatowt A., Bhatia S. (Eds.) Proceedings of Text2Story — Second Workshop on Narrative Extraction From Texts co-located with 41th European Conference on Information Retrieval (ECIR 2019).: CEUR-WS. 21-28.
- Brandsen A., Lambers K., Verberne S. & Wansleeben M. (2019), User Requirement Solicitation for an Information Retrieval System Applied to Dutch Grey Literature in the Archaeology Domain, Journal of Computer Applications in Archaeology 2(1): 21-30.
- Beeksma M., Verberne S., Bosch A. van den, Hendrickx I., Das E. & Groenewoud S. (2019), Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records, BMC Medical Informatics and Decision Making 19: 36.
- Wiggers G. & Verberne S. (2019), Citation Metrics for Legal Information Retrieval Systems. In: Cabanac G., Frommholz I., Mayr P. (Eds.) Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR), co-located with the 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany, April 14th, 2019. CEUR Workshop proceedings no. 2345. 39-50.
- Verberne S., Chios G. & Wang J. (2019), Extracting and Matching Patent In-text References to Scientific Publications. In: Chandrasekaran M.K., Mayr P. (Eds.) Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). no. 2414: CEUR-WS. 56-69.
- Verberne S., He J., Wiggers G., Russell-Rose T., Kruschwitz U. & Vries A.P. de (2019), Information search in a professional context – exploring a collection of professional search tasks arXiv. [Working paper].
- Burgh B. van der & Verberne S. (2019), The merits of Universal Language Model Fine-tuning for Small Datasets–a case with Dutch book reviews arXiv. [Working paper].
- Dirkson A.R. & Verberne S. (2019), Transfer Learning for Health-related Twitter Data. In: Weissenbacher D., Gonzales-Hernandez G. (Eds.) Proceedings of the Fourth Social Media Mining for Health Applications (SMM4H) Workshop & Task. no. SMM4H: Association for Computational Linguistics. 89-92.
- Eenbergen M.C. van, Poll-Franse L.V. van de, Krahmer E., Verberne S. & Mols F. (2018), Analysis of Content Shared in Online Cancer Communities: Systematic Review, JMIR Cancer 4(1): e6.
- Oortmerssen G. van, Raaijmakers S., Sappelli M., Boertjes E., Verberne S., Walasek N. & Kraaij W. (2018), Analyzing cancer forum discussions with text mining. In: Riano D., Peleg M., Lenz R., Reichert M., Denecke K., Deng Y., Declerck T., Harmelen F. van (Eds.) Proceedings of the International Joint Workshop KR4HC - ProHealth 2017 (in conjunction with AIME 2017).. 127-130.
- Verberne S., Krahmer E., Hendrickx I., Wubben S. & Bosch A. van den (2018), Creating a reference data set for the summarization of discussion forum threads, Language Resources and Evaluation 52(2): 461-483.
- Verberne S. (2018), De menselijke kant van het zoeken (interview). Interviewed by Ronald de Nijs for IP: Vakblad voor Informatieprofessionals [interview].
- Verberne S. (2018), Explainable IR for personalizing professional search. In: Dietz L., Koesten L., Verberne S. (Eds.) Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH’18). Co-located with (ACM SIGIR 2018). no. 2127: CEUR-WS. 35-42.
- Wiggers G., Verberne S. & Zwenne G.J. (2018), Exploration of Intrinsic Relevance Judgments by Legal Professionals in Information Retrieval Systems. In: Brandsen A., Dirkson A.R., Kraaij W., Lamers W., Verberne S., Vos H. de, Wiggers G. (Eds.) Proceedings of the 17th Dutch-Belgian Information Retrieval workshop. Leiden: DIR. 5-8.
- Dirkson A.R., Verberne S., Oortmerssen G. van & Kraaij W. (2018), Lexical Normalization of User-generated Medical Forum Data. In: Proceedings of the 17th Dutch-Belgian Information Retrieval workshop.. 1-4.
- Brandsen A., Verberne S. & Wansleeben M. (2018), Named Entity Recognition in Dutch Archaeological Research Reports. Computational Linguistics in the Netherlands (CLIN) 28 26 1 2018-26 1 2018 [conference poster].
- Kaal S.E.J., Husson O., Dartel F. van, Hermans K., Jansen R., Manten-Horst E., Servaes P., Belt T.H. van de, Engelen L.J.L.P.G., Prins J.B., Verberne S. & Graaf W.T.A. van der (2018), Online support community for adolescents and young adults (AYAs) with cancer: user statistics, evaluation and content analysis, Patient Preference and Adherence 2018(12): 2615-2622.
- Verberne S., He J., Kruschwitz U., Wiggers G., Larsen B., Russell-Rose T. & Vries A.P. de (2018), Report on the First International Workshop on Professional Search. [other].
- Boer M. de, Dirkson A.R., Oortmerssen G. van & Verberne S. (2018), The Patient Forum Miner: Text Mining for patient communities. In: Brandsen A., Dirkson A., Kraaij W., Lamers W., Verberne S., Vos H. de, Wiggers G. (Eds.) Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop,.. 25-26.
- Verberne S., Bosch A. van den, Wubben S. & Krahmer E. (2017), Automatic summarization of domain-specific forum threads: Collecting reference data. In: CHIIR 2017 - Proceedings of the 2017 Conference Human Information Interaction and Retrieval. New York: ACM. 253-256.
- Verberne S. (2017), Deep Learning revolutie - en wat nu?, DIXIT ( Tijdschrift over toegepaste taal- en spraaktechnologie) 14(1): 28-29.
- Sappelli M., Verberne S. & Kraaij W. (2017), Evaluation of context-aware recommendation systems for information re-finding, Journal of the Association for Information Science and Technology 68(4): 895–910.
- Widmann N. & Verberne S. (2017), Graph-based semi-supervised learning for text classification. In: ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. New York: ACM. 59-66.
- D’hondt E., Verberne S., Oostdijk N. & Boves L. (2017), Patent Classification on Subgroup Level Using Balanced Winnow. In: Lupu M., Mayer K., Kando N., Trippe A.J. (Eds.) Current Challenges in Patent Information Retrieval. The Information Retrieval Series no. 37 Heidelberg: Springer. 299-324.
- Verberne S., Leeuwen R. van, Gerritsen G. & Boves L. (2017), RemBench: A Digital Workbench for Rembrandt Research. In: Odijk J., Hessen A. van (Eds.) CLARIN in the Low Countries. London: Ubiquity Press. 329–342.
- Sappelli M., Verberne S. & Wessel Kraaij (2016), Adapting the Interactive Activation Model for Context Recognition and Identification, ACM Transactions on Interactive Intelligent Systems 6(3): 22-30.
- Sappelli M., Pasi G., Verberne S., Boer M. de & Wessel Kraaij (2016), Assessing e-mail intent and tasks in e-mail messages, Information Sciences 358: 1-17.
- Verberne S., Heijden M. van der, Hinne M., Sappelli M., Koldijk S., Hoenkamp E. & Kraaij W. (2013), Reliability and Validity of Query Intent Assessments, Journal of the American Society for Information Science and Technology 64(11): 2224-2237.
No relevant ancillary activities