prof. dr. PTJM Vossen

    1994 …2020

    Research output per year

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    Personal profile

    Personal information

    Prof. Dr. P.Th.J.M. (Piek) Vossen (1960) is full Professor Computational Lexicology at the Vrije Universiteit Amsterdam, Head of the Computational Lexicology & Terminology Lab (CLTL),  co-founder and co-president of the Global WordNet Assocation (GWA) and member of the Board of the Faculty of Humanities of the Vrije Universiteit of Amsterdam (portfolio Research).

    In 2013 he won the prestigious Spinoza Award of the Netherlands Organisation for Scientific Research (NWO) and in 2015 he has been honoured by the Dutch Royal House as a “Knight in the Order of the Dutch Lion”. He is also a member of the Koninklijke Nederlandse Akademie van Wetenschappen (KNAW) in three domains and a member of the Koninklijke Hollandsche Maatschappij der Wetenschappen (KHMW).

    Piek Vossen studied Dutch and General Linguistics at the University of Amsterdam and received his PhD (cum laude) in Linguistics on Computational Lexicology and Lexicography. He is/has been involved in the many national and international projects, among which: AcquilexEuroWordNetMeaningCornettoDutchSemCorKYOTO and  GlobalWordNetGrid. His European NewsReader project developed the ‘History Recorder’, a computer program that ‘reads’ the news each day and precisely records what happened when and where in the world and who was involved. Furthermore he developed 5 research projects with the Spinoza-price: “Understanding of Language by Machines – an escape from the world of language”. He coordinates the project "Make Robots Talk", and the follow-up project "Make Robots Talk and Think" (2020-2024),  the NWO project Dutch Framenet and the NWO "Alani" project (2020-2024). He is also Principal Investigator of the Hybrid Intelligence Gravity Project (2020-2030).

    For many years he combined his academic career with his work in the industry. He worked at Sail Labs (1999-2001) and as a C.T.O. of Irion Technologies B.V. (2001-2009), where he developed multilingual language technology for many different languages, such as cross-lingual semantic search, text classification, and natural-language dialogue systems.

    Vossen published more than 300 (peer reviewed) articles in national and international journals, conference proceedings, book chapters and (hand)books. He has given more than 200 invited keynote talks at several conferences and other occasions, is a regular organizer of and referee for (inter)national conferences and journals, and has served on many scientific, advisory and program committees. He also serves as a member of PhD-committees in the Netherlands as well as abroad. In 2014 he won the Enlighten Your Research Competition 2013.

    He is an invited member of several advisory boards and institutes, such as the European Language Resources Association (ELRA), the Centraal Planbureau, the Network InstituteDEFT Events Advisory Board of the Linguistic Data Consortium (LDC), SURFSara, the World Wide Web Consortium (W3C) Ontology-Lexica Community Group; he also serves as an expert reviewer for the European Union.

    His research interests are WordNets, Computational Lexicon, Ontologies, Computational Linguistics, Language Technology and Computer-Applications, both within a single language and from a multilingual perspective. Vossen is interested in the relation between lexicons and ontologies, from a theoretical point of view as well as from their usage in computer-applications in which meaning and interpretation play a role. He sees the lexicon as a fundamental resource to anchor meaning and interpretation in useful computer behaviour. Computer behaviour can make use of communicative models and insights from communication science. The organization of the lexicon and the knowledge stored in it need to take that usage as a starting point. He combines linguistics and computer science to model understanding of natural language texts by computers.

    Visit his website: http://vossen.info

    Research

    Prizes and Awards

    • 2017: Elected member (one of 16 elected in total) of the Koninklijke Nederlandse Akademie van Wetenschappen (KNAW) in three domains.
    • 2015: Honoured (one of 12 in total) by the Dutch Royal House as “Ridder in de Orde van de Nederlandse Leeuw” (Knight in the Order of the Dutch Lion), the Hague, the Netherlands.
    • 2014: NWO Enlighten Your Research Prize for Big Data in research (3 elected in total).
    • 2014: University Research Fellow Vossen, Vrije Universiteit Universiteit Amsterdam
    • 2013: Spinoza Award (one of 3 elected in total) of the Netherlands Organisation for Scientific Research (NWO).
    • 2012: Elected member of the Koninklijke Hollandsche Maatschappij der Wetenschappen (KHMW).

    Grants

    See Grants on my website

    Teaching

    Master Programs

    MA Text Mining (1 year program):

    Our one-year MA program in Text Mining trains students in applying Human Language Technology to real-world use-cases in a variety of domains. Hands-on practice in interdisciplinary settings are central to this program. Students have a number of exciting career options in industry and usually complete their final thesis as part of an internship at a company or organization. If you would like to learn more about this program, please visit MA Text mining and have a look at what our students are up to now. Learn more about career opportunities and what recent graduates are doing now here

    Specialization Human Language Technology in the Research Master Humanities (2 year program):

    This program trains students in the fundamentals of Natural Language Processing/Computational Linguistics. It is open for students who hold a bachelor degree in either Linguistics or Computer Science and is mainly targeted at students with a strong interest and motivation in research. Career prospects include research positions in academia and industry. For more information, please visit Human Language Technology and read about our recent graduates and what they are up to now

    Courses

    MA course Methods of authorship analysis in the ReMA specialization Forensic Linguistics:

    This course examines different questions about authorship that (computational) linguists can (and cannot) answer, reviews different methods or authorship analysis and combines qualitative and quantitative perspectives. To learn more about the specialization, please visit Forensic Linguistics.

    Bachelor Minor Digital Humanities: 

    The sources and objects studied in history, media, literature, linguistics, music are increasingly becoming available digitally. In the minor Digital Humanities and Social Analytics you will learn how to create, interpret and analyze different types of data collections using computational tools. Please visit Minor Digital Humanities and Social Analytics to learn more about this minor. 

    Bachelor course Introduction to Text Mining:

    This course offers an overview of core topics in Text Mining. Check out the final projects our students have worked on.

    Graduates and Careers

    Students who graduate from our programs usually find positions in industry and academia. Have a look at what our recent graduates are up to here.

     

    Ancillary activities

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    Keywords

    • H Social Sciences
    • Z Bibliography. Library Science. Information Resources
    • T Technology
    • P Language and Literature

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