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Personal profile

Personal information

Prof. Dr. P.Th.J.M. (Piek) Vossen (1960) is full Professor Computational Lexicology at the VU University Amsterdam, Head of the Computational Lexicology & Terminology Lab (CLTL),  co-founder and co-president of the Global WordNet Assocation (GWA) and partner in the Centre for Digital Humanities Amsterdam. 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 latest project NewsReader 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 4 research projects with the Spinoza-price: “Understanding of Language by Machines – an escape from the world of language”.

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 also won the Enlighten Your Research Competition 2013.

He is a member of several advisory boards and institutes, such as 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 my 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, VU 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

CLTL Research Master Humanities: Human Language Technology: see flyer HLT Master.

More BA/MA/Minor-courses: http://vossen.info/teaching/

Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Keywords

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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2018

Don't Annotate, but Validate: a Data-to-Text Method for Capturing Event Data

Vossen, P., Ilievski, F., Postma, M. & Roxane, S. 2018 LREC2018, Myazaki.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Violence

Identity and granularity of events in text

Vossen, P. & Cybulska, A. 2018 Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Revised Selected Papers. Springer/Verlag, p. 501-522 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9624 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Granularity
Semantics
Event Detection
Anomaly
Text
Semantics
Violence

Resource Interoperability for Sustainable Benchmarking: The Case of Events

van Son, C. M., Inel, O. A., Morante Vallejo, R., Aroyo, L. M. & Vossen, P. T. J. M. May 2018 Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
benchmarking
resource
empirical analysis
document

The automatic acquisition of a Dutch lexicon for opinion mining

Maks, E. 2018 224 p.

Research output: ThesisPhD Thesis - Research VU, graduation VU

Open Access
File