Suzan Verberne
Hoogleraar Informatica
- Naam
- Prof.dr. S. Verberne
- Telefoon
- +31 71 527 7043
- s.verberne@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-9609-9505
Suzan Verberne is hoogleraar Natural Language Processing (NLP) aan het Leiden Institute of Advanced Computer Science van de Universiteit Leiden en lid van het interdisciplinaire onderzoeksprogramma Society, Artificial Intelligence and Life Sciences (SAILS).
Meer informatie over Suzan Verberne
Promovendi
Nieuws
-
Vrouwelijke informatici in de spotlight: ‘Informatica is voor iedereen’ -
Waarom zoekmachines en chatbots steeds meer op elkaar gaan lijken -
Nieuwe hoogleraar Suzan Verberne wil grote taalmodellen en zoekmachines dichter tot elkaar brengen -
Hoe werkt de ethische commissie? Suzan Verberne geeft een inkijkje -
Kankerpatiënten helpen bij behandelkeuzes -
Promovendus gebruikt AI om onbekende bijwerkingen op te sporen in patiëntenfora -
Anne Dirkson wint Krijn Rietveld Memorial Innovation Award 2022 -
Klantvriendelijke Nederlandstalige chatbots -
Peter Burger en Suzan Verberne in de Volkskrant over QAnon en taalkunde -
Zoeken naar wetenschap in octrooiteksten -
Van fabeltjesfuik tot sekszorgrobot: kom naar de online talkshow 'The Future of AI is Human' -
BNAIC/Benelearn conferentie groot succes -
Journalisten, online media professionals en onderzoekers komen samen voor de tweede editie van MISDOOM -
‘Ik vond mezelf altijd stressbestendig, maar ik ben nu toch wel onzeker’ -
Gezinnen met lage inkomens helpen bij de energietransitie -
Universiteit Leiden als inspiratiebron voor nieuwe masteropleiding Kunstmatige Intelligentie en Data Science -
Vijftig procent kans dat jij minimaal één keer op pulpnieuws hebt gereageerd -
Suzan Verberne in De Volkskrant over natural language processing -
Suzan Verberne live bij NEMO Kennislink over pulpnieuws en clickbait -
LIACS onderdeel van Horizon 2020 project over social media analytics -
Dit zijn de vijf Leidse hoogtepunten van ICT.OPEN -
Miljoenen Nederlanders liken en delen pulpnieuws op Facebook -
Vrouwelijke informatici in de spotlight -
Wetenschappers LIACS in de media over gevolgen Cambridge Analytica-storm -
Suzan Verberne over RemBench bij Universiteit van Nederland -
Beter gebruik maken van data bij beleidsontwikkeling -
Vrouwelijke informatici in de spotlight -
Suzan Verberne in de Volkskrant over nieuwe vertaaltechnologieën
Zie ook
Suzan Verberne is hoogleraar Natural Language Processing (NLP) aan het Leiden Institute of Advanced Computer Science van de Universiteit Leiden en lid van het interdisciplinaire onderzoeksprogramma Society, Artificial Intelligence and Life Sciences (SAILS). Ze is leider van de groep Text Mining and Retrieval.
Ze promoveerde in 2010 op het onderwerp Question Answering en werkt sindsdien op het grensvlak tussen Natural Language Processing (NLP) en Information Retrieval (IR). Ze heeft projecten begeleid waarbij een groot aantal toepassingsdomeinen en samenwerkingsverbanden betrokken waren: van sociale media tot recht en van archeologie tot gezondheid. Haar recente werk concentreert zich op interactieve informatietoegang voor specifieke domeinen en contexten met weinig middelen. Ze heeft een sterke interesse in de wisselwerking tussen zoekmachines en grote taalmodellen. Suzan is zeer actief in de NLP- en IR-gemeenschappen en bekleedt voorzittersfuncties in de grote wereldwijde conferenties, waaronder activiteiten met betrekking tot diversiteit en inclusiviteit. Ze geeft mastercursussen over Information Retrieval en Text Mining en begeleidt veel bachelor- en masterstudenten.
Hoogleraar Informatica
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- Askari A., Verberne S., Abolghasemi M.A., Kraaij W. & Pasi G. (2024), Retrieval for extremely long queries and documents with RPRS: a highly efficient and effective transformer-based re-ranker, ACM Transactions on Information Systems 42(5): 115.
- Abolghasemi M.A., Ren Z., Askari A., Aliannejadi M., Rijke M. & Verberne S. (2024), CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. Ku L.W., Martins A. & Srikumar V. (red.), Findings of the Association for Computational Linguistics ACL 2024. CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems 11 augustus 2024 - 16 augustus 2024: Association for Computational Linguistics. 14623–14635.
- Abolghasemi M.A., Azzopardi L., Askari A., Rijke M. de & Verberne S. (2024), Measuring bias in a ranked list using term-based representations. Goharian N., Tonellotto N., He Y., Lipani A., McDonald G., Macdonald C. & Ounis I. (red.), Advances in Information Retrieval. ECIR 2024. 46th European Conference on Information Retrieval, ECIR 2024 24 maart 2024 - 28 maart 2024. Lecture Notes in Computer Science nr. 14612. Cham: Springer. 3-19.
- I-Fan Lin Faegheh Hasibi Suzan Verberne (2024), Generate then Refine: Data Augmentation for Zero-shot Intent Detection nr. 768. Association for Computational Linguistics. [working paper].
- Mert Yazan Suzan Verberne Frederik Situmeang (2024), The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs. .
- Wang X., Du Y., Verberne S. & Verbeek F.J. (2023), Fine-grained label learning in object detection with weak supervision of captions, Multimedia Tools and Applications 82(5): 6557-6579.
- Dijk B.M.A. van, Duijn M.J. van, Verberne S. & Spruit M. (2023), ChiSCor: a corpus of freely-told fantasy stories by Dutch children for computational linguistics and cognitive science. Jing J., Reitter D. & Deng S. (red.), Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL). 27th Conference on Computational Natural Language Learning (CoNLL) 6 december 2023 - 7 december 2023. Singapore: Association for Computational Linguistics. 352–363.
- Bagheri A., Giachanou A., Mosteiro P. & Verberne S. (2023), Natural language processing and text mining: turning unstructured data into structured. In: Asselbergs F.W., Denaxas S., Oberski D.L. & Moore J.H. (red.), Clinical applications of artificial intelligence in real-world data. Cham: Springer. 69-93.
- Bascur J., Verberne S., Eck N. van & Waltman L. (2023), Academic information retrieval using citation clusters: in-depth evaluation based on systematic reviews, Scientometrics 128: 2895-2921.
- Wiggers G., Verberne S., Loon W.S. van & Zwenne G.J. (2023), Bibliometric‐enhanced legal information retrieval: combining usage and citations as flavors of impact relevance, Journal of the Association for Information Science and Technology 74(8): 1010-1025.
- Askari A., Aliannejadi M., Meng C., Kanoulas E. & Verberne S (2023), Expand, highlight, generate: RL-driven document generation for passage reranking. Bouamor H., Pino J. & Bali K. (red.), Proceedings of the 2023 conference on empirical methods in natural language processing. The 2023 Conference on Empirical Methods in Natural Language Processing 6 december 2023 - 10 december 2023: Association for Computational Linguistics. 10087–10099.
- Askari A., Abolghasemi M.A., Pasi G., Kraaij W. & Verberne S. (2023), Injecting the BM25 score as text improves BERT-based re-rankers. Kamps J., Goeuriot L., Crestani F., Maistro M., Joho H., Davis B., Gurrin C., Kruschwitz U. & Caputo A. (red.), Advances in information retrieval: 45th European Conference on Information Retrieval, ECIR 2023. 45th European Conference on Information Retrieval, ECIR 2023 2 april 2023 - 6 april 2023 nr. 13980. Cham: Springer. 66–83.
- Askari A., Aliannejadi M., Kanoulas E. & Verberne S. (2023), A test collection of synthetic documents for training rankers: ChatGPT vs. human experts, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM). CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management 21 oktober 2023 - 25 oktober 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 5311-5315.
- Abolghasemi M.A., Verberne S., Askari A. & Azzopardi L. (2023), Retrievability bias estimation using synthetically generated queries, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM). CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management 21 oktober 2023 - 25 oktober 2023. New York, : Association for Computer Machinery. 3712-3716.
- Askari A., Aliannejadi M., Abolghasemi M.A., Kanoulas E. & Verberne S. (2023), CLosER: conversational legal longformer with expertise-aware passage response ranker for long contexts, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM). CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management 21 oktober 2023 - 25 oktober 2023. New York, : Association for Computer Machinery. 25-35.
- Althammer S., Zuccon G., Hofstätter S., Verberne S. & Hanbury A. (2023), Annotating data for fine-tuning a neural ranker?: Current active learning strategies are not better than random selection. Ai Q., Liu Y., Moffat A., Huang X., Sakai T. & Zobel J. (red.), SIGIR-AP '23: Proceedings of the annual international ACM SIGIR conference on research and development in information retrieval in the Asia Pacific region. SIGIR-AP '23: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region 26 november 2023 - 28 november 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 139-149.
- Tseng R., Verberne S. & Putten P.W.H. van der (2023), ChatGPT as a commenter to the news: can LLMs generate human-like opinions?. Ceolin D., Caselli T. & Tulin M. (red.), Disinformation in Open Online Media. MISDOOM 2023: lecture notes in computer science. MISDOOM 2023: Disinformation in Open Online Media 21 november 2023 - 22 november 2023 nr. 14397. Cham: Springer. 160–174.
- Dirkson A., Verberne S., Oortmerssen G. van, Gelderblom H. & Kraaij W. (2023), How do others cope? : Extracting coping strategies for adverse drug events from social media, Journal of Biomedical Informatics 139: 104228.
- Wang X., Du Y., Verberne S. & Verbeek F.J. (2022), Improving weakly supervised phrase grounding via visual representation contextualization with contrastive learning, Applied Intelligence 53(11): 14690-14702.
- Verberne S. (2022), The user perspective in professional information search . In: Vossen P & Fokkens A. (red.), Creating a more transparent internet: Cambridge University Press. 229-243.
- Askari A., Verberne S. & Pasi G. (2022), Expert finding in legal community question answering. Hagen M., Verberne S., Macdonald C., Seifert C., Balog K., Nørvåg K. & Setty V. (red.), Advances in Information Retrieval. ECIR 2022. 44th European Conference on IR Research, ECIR 2022 10 april 2022 - 14 april 2022. Lecture Notes in Computer Science nr. 13185. Cham: Springer. 22-30.
- Abolghasemi M.A., Verberne S. & Azzopardi L. (2022), Improving BERT-based query-by-document retrieval with multi-task optimization. Hagen M., Verberne S., Macdonald C., Seifert C., Balog K., Nørvåg K. & Setty V. (red.), Advances in Information Retrieval. ECIR 2022.. 44th European Conference on IR Research, ECIR 2022 10 april 2022 - 14 april 2022. Lecture Notes in Computer Science nr. 13185. Cham: Springer. 3-12.
- Althammer S., Hofstätter S., Sertkan M., Verberne S. & Hanbury A. (2022), PARM: a Paragraph Aggregation Retrieval Model for dense document-to-document retrieval. Hagen M., Verberne S., Macdonald C., Seifert C., Balog K., Nørvåg K. & Setty V. (red.), Advances in information retrieval. ECIR 2022. 44th European Conference on IR Research, ECIR 2022 10 april 2022 - 14 april 2022. Lecture Notes in Computer Science nr. 13185. Cham: Springer. 19-34.
- Althammer S., Hofstätter S., Verberne S. & Hanbury A. (2022), TripJudge: a relevance judgement test collection for TripClick health retrieval, Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM ’22). CIKM '22: The 31st ACM International Conference on Information and Knowledge Management 17 oktober 2022 - 22 oktober 2022. New York: Association for Computer Machinery. 3801–3805.
- Schouten M., Ramackers G.J. & Verberne S. (2022), Preprocessing requirements documents for automatic UML modelling. Rosso P., Basile V., Martínez R., Métais E. & Meziane F. (red.), Proceedings of the 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, LNCS . 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022 15 juni 2022 - 17 juni 2022. Lecture Notes in Computer Science nr. 13286. Cham: Springer. 184–196.
- Abolghasemi M.A., Askari A. & Verberne S. (2022), On the interpolation of contextualized term-based ranking with BM25 for query-by-example retrieval, Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR ’22). ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval 11 juli 2022 - 12 juli 2022. New York: Association for Computing Machinery. 161-170.
- Congleton C., Putten P.W.H. van der & Verberne S. (2022), Tracing political positioning of Dutch newspapers. Spezzano F., Amaral A., Ceolin D., Fazio L. & Serra E. (red.), Disinformation in Open Online Media. MISDOOM 2022. 4th Multidisciplinary International Symposium, MISDOOM 2022 11 oktober 2022 - 12 oktober 2022. Lecture Notes in Computer Science nr. 13545. Cham: Springer. 27-43.
- Dirkson A.R., Verberne S. & Kraaij W. (2022), Breaking BERT: Understanding its vulnerabilities for biomedical named entity recognition through adversarial attack. arXiv. [working paper].
- 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 : .
- 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.
- Dirkson A.R., Verberne S., Kraaij W., Oortmerssen G. van & Gelderblom H. (2022), Automated gathering of real-world data from online patient forums can complement pharmacovigilance for rare cancers, Scientific Reports 12(1): 10317.
- Dirkson A., Hollander D. den, Verberne S., Desar I., Husson O., Graaf W. T A van der, Oosten A., Reyners A. K L, Steeghs N., Loon W. van: Oortmerssen G. van, Gelderblom H. & Kraaij W. (2022), Sample bias in web-based patient-generated health data of Dutch patients with gastrointestinal stromal tumor: survey study, JMIR Formative Research 6(12): e36755.
- Barbouch M., Verberne S. & Verhoef T. (2021), WN-BERT: integrating WordNet and BERT for lexical semantics in natural language understanding, Language and Computers: Studies in Digital Linguistics 11: 105-124.
- Dirkson A.R., Verberne S. & Kraaij W. (2021), FuzzyBIO: a proposal for fuzzy representation of discontinuous entities. Holderness E., Jimeno Yepes A., Lavelli A., Minard A.L., Pustejovsky J. & Rinaldi F. (red.), Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis. The 12th International Workshop on Health Text Mining and Information Analysis LOUHI 2021 19 april 2021 - 19 april 2021: Association for Computational Linguistics. 77–82.
- Brandsen A., Verberne S., Lambers K. & Wansleeben M. (2021), Usability evaluation for online professional search in the Dutch archaeology domain. arXiv. Leiden: Leiden University.
- 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.
- Askari A.. & Verberne S.. (2021), Combining lexical and neural retrieval with longformer-based summarization for effective case law retrieva. Alonso O., Marchesin S., Najork M. & Silvello G. (red.), Proceedings of the second international conference on design of experimental search & information REtrieval systems. 2nd International Conference on Design of Experimental Search & Information REtrieval Systems (DESIRES) 15 september 2021 - 18 september 2021 nr. 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, Proceedings of the eighth international competition on legal information extraction/entailment (COLIEE 2021). Eigth International Competition on Legal Information Extraction/Entailment (COLIEE 2021) 21 juni 2021 - 21 juni 2021 8-14.
- Reuver M., Verberne S., Morante R. & Fokkens A. (2021), Is stance detection topic-independent and cross-topic generalizable? - A reproduction study. Al-Khatib K., Hou Y. & Stede M. (red.), Proceedings of the 8th Workshop on Argument Mining. 8th Workshop on Argument Mining 10 november 2021 - 11 november 2021 nr. 8: Association for Computational Linguistics. 46–56.
- Vos H.P. de & Verberne S. (2021), Small data problems in political research: a critical replication study. Rehbein I., Lapesa G., Glavas G. & Ponzetto S. (red.), 1st Workshop on computational linguistics for political text analysis (CPSS-2021). 1st Workshop on Computational Linguistics for Political Text Analysis (CPSS-2021) 6 september 2021 - 6 september 2021.
- Goharian N., Ma X. & Verberne S. (2021), Women and disparities in leadership and wages ACM SIGIR Forum nr. 54 New York: ACM.
- 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. Field A., Prabhumoye S., Sap M., Jin Z., Zhao J. & Brockett C. (red.), Proceedings of the 1st workshop on NLP for positive impact. 1st Workshop on NLP for Positive Impact 5 augustus 2021 - 5 augustus 2021: Association for Computational Linguistics. 47-59.
- Frommholz I., Cabanac G., Mayr P. & Verberne S. (2021), Report on the 11th bibliometric-enhanced information retrieval workshop (BIR 2021). SIGIR Forum nr. 55. New York: ACM.
- Reuver M., Fokkens A. & Verberne S. (2021), No NLP task should be an island: multi-disciplinarity for diversity in news recommender systems. Toivonen H. & Boggia M. (red.), Proceedings of the EACL Hackashop on news media content analysis and automated report generation. EACL Hackashop on News Media Content Analysis and Automated Report Generation 19 april 2021 - 19 april 2021: Association for Computational Linguistics. 45-55.
- Voskuil K. & Verberne S. (2021), Improving reference mining in patents with BERT. Frommholz I., Mayr P., Cabanac G. & Verberne S. (red.), Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2021). the 11th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2021) 1 april 2021 - 1 april 2021: CEUR. 78-88.
- 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 (red.), Meesterlijk: liber amicorum ter gelegenheid van het emeritaat van prof.dr. Jaap van den Herik. Meijers-reeks nr. 376. Leiden: Leiden Law School. 115-125.
- 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.
- 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.
- Brandsen A., Verberne S., Lambers K. & Wansleeben M. (2020), Creating a Dataset for Named Entity Recognition in the Archaeology Domain. 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. (red.), Conference Proceedings LREC 2020. The 12th Language Resources and Evaluation Conference (LREC) 2020 11 mei 2020 - 16 mei 2020. Marseilles: The European Language Resources Association. 4573–4577.
- Duijn M. van, Preuss M., Spaiser V., Takes F.W. & Verberne S. (red.) (2020), Disinformation in Open Online Media. Lecture Notes in Computer Science nr. 12259. Cham: Springer.
- Dirkson A.R., Verberne S. & Kraaij W. (2020), Conversation-Aware Filtering of Online Patient Forum Messages. 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. (red.), Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task. Fifth Social Media Mining for Health Applications Workshop and Shared Task at COLING 2020 12 december 2020 - 12 december 2020: Association for Computational Linguistics. 11-18.
- Wiggers G. & Verberne S. (2020), Usage and Citation Metrics for Ranking Algorithms in Legal Information Retrieval Systems. Cabanac G., Frommholz I. & Mayr P. (red.), Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval. 10th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 42nd European Conference on Information Retrieval (ECIR 2020) 14 april 2020 - 14 april 2020. CEUR Workshop Proceedings nr. 2591: CEUR-WS.org. 42-52.
- Vos H.P. de & Verberne S. (2020), Challenges of Applying Automatic Speech Recognition for Transcribing EU Parliament Committee Meetings: A Pilot Study. Fišer D., Eskevich M. & Jong F. de (red.), Proceedings of the LREC 2020Workshop on with Other Types of Political Discourse with Other Types of Political Discourse (ParlaCLARIN II). LREC 2020 Workshop Language Resources and Evaluation Conference 11 mei 2020 - 16 mei 2020. Paris, France: European Language Resources Association (ELRA). 40-43.
- Chios I. & Verberne S. (2020), Helping results assessment by adding explainable elements to the deep relevance matching model, Proceedings of the 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020). The 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020) 30 juli 2020 - 30 juli 2020.
- Suryadikara R., Verberne S. & Takes F.W. (2020), False news classification and dissemination: the case of the 2019 Indonesian presidential election. Stefan Conrad S. & Tiddi I. (red.), Proceedings of the CIKM 2020 Workshops, co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN) 20 oktober 2020 - 20 oktober 2020 nr. 2699: CEUR-WS.org. 1-9.
- Hu Y. & Verberne S. (2020), Named Entity Recognition for Chinese biomedical patents. Scott D., Bel N. & Zong C. (red.), Proceedings of the 28th International Conference on Computational Linguistics . 28th International Conference on Computational Linguistics 8 december 2020 - 13 december 2020: International Committee on Computational Linguistics. 627-637.
- 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.
- Dirkson A.R., Verberne S. & Kraaij W. (2019), Narrative detection in online patient communities. Jorge A.M., Campos R., Jatowt A. & Bhatia S. (red.), Proceedings of Text2Story — Second Workshop on Narrative Extraction From Texts co-located with 41th European Conference on Information Retrieval (ECIR 2019). Text2Story Workshop at European Conference on Information Retrieval 2019 14 april 2019 - 14 april 2019: CEUR-WS. 21-28.
- Dirkson A.R. & Verberne S. (2019), Transfer Learning for Health-related Twitter Data. Weissenbacher D. & Gonzales-Hernandez G. (red.), Proceedings of the Fourth Social Media Mining for Health Applications (SMM4H) Workshop & Task. Social Media Mining for Health Applications (SMM4H) Workshop & Shared Task at ACL 2019 2 augustus 2019 - 2 augustus 2019 nr. SMM4H: Association for Computational Linguistics. 89-92.
- Dirkson A.R., Verberne S. & Kraaij W. (2019), Lexical Normalization of User-Generated Medical Forum Data. Weissenbacher D. & Gonzalez-Hernandez G. (red.), Proceedings of the Fourth Social Media Mining for Health Applications (SMM4H) Workshop & Shared Task. Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task 2 augustus 2019 - 2 augustus 2019: Association for Computational Linguistics. 11-20.
- 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.
- Wiggers G. & Verberne S. (2019), Citation Metrics for Legal Information Retrieval Systems. Cabanac G., Frommholz I. & Mayr P. (red.), 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. 8th International Workshop on Bibliometric-enhanced Information Retrieval 14 april 2019 - 14 april 2019. CEUR Workshop Proceedings nr. 2345 39-50.
- 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.
- 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.
- Verberne S., Krahmer E., Wubben S. & Bosch A. van den (2019), Query-based summarization of discussion threads, Natural Language Engineering 26(1): 3-29.
- 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.
- 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].
- 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].
- Verberne S., Chios G. & Wang J. (2019), Extracting and Matching Patent In-text References to Scientific Publications. Chandrasekaran M.K. & Mayr P. (red.), Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries 25 juli 2019 - 25 juli 2019 nr. 2414: CEUR-WS. 56-69.
- 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.
- Brandsen A., Verberne S. & Wansleeben M. (2018), Named Entity Recognition in Dutch Archaeological Research Reports. Computational Linguistics in the Netherlands (CLIN) 28, Nijmegen. 26 januari 2018 - 26 januari 2018. [conferentie poster].
- Oortmerssen G. van, Raaijmakers S., Sappelli M., Boertjes E., Verberne S., Walasek N. & Kraaij W. (2018), Analyzing cancer forum discussions with text mining. Riano D., Peleg M., Lenz R., Reichert M., Denecke K., Deng Y., Declerck T. & Harmelen F. van (red.), Proceedings of the International Joint Workshop KR4HC - ProHealth 2017 (in conjunction with AIME 2017). International Joint Workshop KR4HC - ProHealth 2017 (in conjunction with AIME 2017) 24 juni 2017 - 24 juni 2017 127-130.
- Wiggers G., Verberne S. & Zwenne G.J. (2018), Exploration of Intrinsic Relevance Judgments by Legal Professionals in Information Retrieval Systems. Brandsen A., Dirkson A.R., Kraaij W., Lamers W., Verberne S., Vos H. de & Wiggers G. (red.), Proceedings of the 17th Dutch-Belgian Information Retrieval workshop. The 17th Dutch-Belgian Information Retrieval workshop 23 november 2018 - 23 november 2018. Leiden: DIR. 5-8.
- Dirkson A.R., Verberne S., Oortmerssen G. van & Kraaij W. (2018), Lexical Normalization of User-generated Medical Forum Data, Proceedings of the 17th Dutch-Belgian Information Retrieval workshop. Dutch-Belgian Information Retrieval Workshop 23 november 2018 - 23 november 2018 1-4.
- 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.
- 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. (2018), Explainable IR for personalizing professional search. Dietz L., Koesten L. & Verberne S. (red.), 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). the First International Workshop on Professional Search (ProfS2018) 12 juli 2018 - 12 juli 2018 nr. 2127: CEUR-WS. 35-42.
- Boer M. de, Dirkson A.R., Oortmerssen G. van & Verberne S. (2018), The Patient Forum Miner: Text Mining for patient communities. Brandsen A., Dirkson A., Kraaij W., Lamers W., Verberne S., Vos H. de & Wiggers G. (red.), Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop,. The 17th Dutch-Belgian Information Retrieval workshop 23 november 2018 - 23 november 2018 25-26.
- 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. [overig].
- 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.
- Verberne S., Bosch A. van den, Wubben S. & Krahmer E. (2017), Automatic summarization of domain-specific forum threads: Collecting reference data, CHIIR 2017 - Proceedings of the 2017 Conference Human Information Interaction and Retrieval. CHIR'17 7 maart 2018 - 11 maart 2018. New York: ACM. 253-256.
- Widmann N. & Verberne S. (2017), Graph-based semi-supervised learning for text classification, ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. ICTIR'17 1 oktober 2017 - 4 oktober 2017. New York: ACM. 59-66.
- Verberne S., Leeuwen R. van, Gerritsen G. & Boves L. (2017), RemBench: A Digital Workbench for Rembrandt Research. In: Odijk J. & Hessen A. van (red.), CLARIN in the Low Countries. London: Ubiquity Press. 329–342.
- 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. (red.), Current Challenges in Patent Information Retrieval. The Information Retrieval Series nr. 37. Heidelberg: Springer. 299-324.
- 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. (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.