Suzan Verberne
Associate professor
- Name
- Dr. S. Verberne
- Telephone
- +31 71 527 7043
- s.verberne@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-9609-9505
Suzan Verberne is an associate professor at the Leiden Institute of Advanced Computer Science at Leiden University.
More information about Suzan Verberne
PhD Candidates
News
-
Anne Dirkson wins Krijn Rietveld Memorial Innovation Award 2022 -
Searching for science in patent texts -
From filter bubbles to sex care robots: come to the online talk show ‘The Future of AI is Human’ -
BNAIC/Benelearn conference big success -
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
See also
Suzan Verberne is an associate professor at the Leiden Institute of Advanced Computer Science at Leiden University. She is group leader of Text Mining and Retrieval. She obtained her PhD in 2010 on the topic of Question Answering and has since then been working on the edge between Natural Language Processing (NLP) and Information Retrieval (IR). She has been involved in projects involving a large number of application domains and collaborations: from social media to law and from archeologists to medical specialists. Her recent work centers around interactive information access for specific domains. She is highly active in the NLP and IR communities, holding chairing positions in the large world-wide conferences. She teaches courses on Data Science in Text Mining, and supervises many bachelor and master students.
Associate professor
- Science
- Leiden Inst of Advanced Computer Science
- Brandsen A., Verberne S., Lambers K & Wansleeben M. (2022), Can BERT dig it? Named entity recognition for information retrieval in the archaeology domain, Journal on Computing and Cultural Heritage 15(3): 1-18.
- Wiggers G., Verberne S. & Zwenne G.J. (2022), Citation Metrics for Legal Information Retrieval: Scholars and Practitioners Intertwined?, Legal Information Management 22(2): 88-103.
- Wiggers G., Verberne S., Zwenne G.J. & Loon W.S. van (2022), Exploration of Domain Relevance by Legal Professionals in Information Retrieval Systems, Legal Information Management 22(1): 49-67.
- Hollander D. den, Dirkson A., Verberne S., Kraaij W., Oortmerssen G. van, Gelderblom H., Oosten A., Reyners A.K.L, Steeghs N., Graaf W.T.A. van der, Desar I. & Husson O. (2022), Symptoms reported by gastrointestinal stromal tumour (GIST) patients on imatinib treatment: combining questionnaire and forum data, Supportive Care in Cancer.
- Lamprecht A.L., Palmblad M., Ison J., Schwämmle V., Al Manir M.S., Altinas I., Baker C.J.O., Ben Hadj Amor A., Cpaell-Gutierrez S., Charonyktakis P., Crusoe M.R., Gil Y., Goble C., Griffin T.J., Groth P., Ienasescu H., Jagtap P., Kalas M.,Kasalica V., Khanteymoori A., Kuhn T., Mei H., Menager H., Möller S., Richardson R.A., Robert V., Soiland-Reyes S., Stevens R., Szaniszlo S., Verberne S., Verhoeven A. & Wolstencroft K.J. (2021), Perspectives on automated composition of workflows in the life sciences, F1000Research 10: 897.
- Dirkson A.R., Verberne S. & Kraaij W. (2022), Breaking BERT: Understanding its vulnerabilities for biomedical named entity recognition through adversarial attack arXiv.
- Magge A., Tutbalina E., Miftahutdinov Z., Alimova I., Dirkson A.R., Verberne S., Weissenbacher D. & Gonzalez-Hernendez G. (2021), DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter, Journal of the American Medical Informatics Association 28(10): 2184-2192.
- Reuver R., Mattis N., Sax M., Verberne S., Tintarev N., Helberger N., Moeller J., Vrijenhoek S., Fokkens A & Atteveldt W. (2021), Are we human, or are we users? : The role of natural language processing in human-centric news recommenders that nudge users to diverse content. In: Field A., Prabhumoye S., Sap M., Jin Z., Zhao J. & Brockett C. (Eds.) Proceedings of the 1st workshop on NLP for positive impact.: Association for Computational Linguistics. 47-59.
- Askari A.. & Verberne S.. (2021), Combining lexical and neural retrieval with longformer-based summarization for effective case law retrieva. In: Alonso O., Marchesin S., Najork M. & Silvello G. (Eds.) Proceedings of the second international conference on design of experimental search & information REtrieval systems. no. 2950 Aachen: CEUR. 162-170.
- Althammer S., Askari A., Verberne S. & Hanbury A.H. (2021), DoSSIER@ COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval. In: Proceedings of the eighth international competition on legal information extraction/entailment (COLIEE 2021).. 8-14.
- Dirkson A.R., Verberne S. & Kraaij W. (2021), FuzzyBIO: a proposal for fuzzy representation of discontinuous entities. In: Holderness E., Jimeno Yepes A., Lavelli A., Minard A.L., Pustejovsky J. & Rinaldi F. (Eds.) Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis.: Association for Computational Linguistics. 77–82.
- Voskuil K. & Verberne S. (2021), Improving reference mining in patents with BERT. In: Frommholz I., Mayr P., Cabanac G. & Verberne S. (Eds.) Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2021).: CEUR. 78-88.
- Reuver M., Verberne S., Morante R. & Fokkens A. (2021), Is stance detection topic-independent and cross-topic generalizable? - A reproduction study. In: Al-Khatib K., Hou Y. & Stede M. (Eds.) Proceedings of the 8th Workshop on Argument Mining. no. 8: Association for Computational Linguistics. 46–56.
- Reuver M., Fokkens A. & Verberne S. (2021), No NLP task should be an island: multi-disciplinarity for diversity in news recommender systems. In: Toivonen H. & Boggia M. (Eds.) Proceedings of the EACL Hackashop on news media content analysis and automated report generation.: Association for Computational Linguistics. 45-55.
- Frommholz I., Cabanac G., Mayr P. & Verberne S. (2021), Report on the 11th bibliometric-enhanced information retrieval workshop (BIR 2021) ACM SIGIR Forum no. 55 New York: ACM.
- Vos H.P. de & Verberne S. (2021), Small data problems in political research: a critical replication study. In: Rehbein I., Lapesa G., Glavas G. & Ponzetto S. (Eds.) 1st Workshop on computational linguistics for political text analysis (CPSS-2021)..
- Wiggers G. & Verberne S. (2021), The Future of Legal Tech Has Already Begun: Steps for Including Technology in the Legal System. In: Custers B.H.M., Dechesne F. & Hof S. van der (Eds.) Meesterlijk: liber amicorum ter gelegenheid van het emeritaat van prof.dr. Jaap van den Herik. Meijers-reeks no. 376 Leiden: Leiden Law School. 115-125.
- Brandsen A., Verberne S., Lambers K. & Wansleeben M. (2021), Usability evaluation for online professional search in the Dutch archaeology domain arXiv. Leiden: Leiden University.
- Goharian N., Ma X. & Verberne S. (2021), Women and disparities in leadership and wages ACM SIGIR Forum no. 54 New York: ACM.
- Duijn M. van, Preuss M., Spaiser V., Takes F.W. & Verberne S. (Eds.) (2020), Disinformation in Open Online Media Lecture Notes in Computer Science no. 12259. Cham: Springer.
- Vos H.P. de & Verberne S. (2020), Challenges of Applying Automatic Speech Recognition for Transcribing EU Parliament Committee Meetings: A Pilot Study. In: Fišer, D.; Eskevich, M.; Jong, F. de (Eds.) Proceedings of the LREC 2020Workshop on with Other Types of Political Discourse with Other Types of Political Discourse (ParlaCLARIN II). Paris, France: European Language Resources Association (ELRA). 40-43.
- Dirkson A.R., Verberne S. & Kraaij W. (2020), Conversation-Aware Filtering of Online Patient Forum Messages. In: Gonzalez-Hernandez, G.; Klein, A.Z.; Flores, I.; Weissenbacher, D.; Magge, A.; O'Connor, K.; Sarker, A.; Minard, A.L.; Tutubalina, E.; Miftahutdinov, Z.; Alimova, I. (Eds.) Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task.: Association for Computational Linguistics. 11-18.
- 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.
- Suryadikara R., Verberne S. & Takes F.W. (2020), False news classification and dissemination: the case of the 2019 Indonesian presidential election. In: Stefan Conrad, S.; Tiddi, I. (Eds.) Proceedings of the CIKM 2020 Workshops, co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). no. 2699: CEUR-WS.org. 1-9.
- Chios I. & Verberne S. (2020), Helping results assessment by adding explainable elements to the deep relevance matching model. In: Proceedings of the 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020)..
- Hu Y. & Verberne S. (2020), Named Entity Recognition for Chinese biomedical patents. In: Scott, D.; Bel, N.; Zong, C. (Eds.) Proceedings of the 28th International Conference on Computational Linguistics .: International Committee on Computational Linguistics. 627-637.
- Wiggers G. & Verberne S. (2020), Usage and Citation Metrics for Ranking Algorithms in Legal Information Retrieval Systems. In: Cabanac G., Frommholz I. & Mayr P. (Eds.) Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval. CEUR Workshop proceedings no. 2591: CEUR-WS.org. 42-52.
- 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. (Ed.) 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. (Ed.) 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. (Ed.) 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. (Ed.) 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. & Kraaij W. (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.
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