Dr N.H.J. Oostdijk (Nelleke)

Guest researcher - Department of Language and Communication
Guest researcher - Centre for Language Studies
Member - Representative Council Faculty of Arts

As a computational linguist, Nelleke Oostdijk’s main research interests are centred around language use and variation, the role of expert (linguistic) knowledge in approaches to text mining and information retrieval, and the creation and curation of language resources.

Nelleke Oostdijk is affiliated as a researcher with the research institute Centre for Language Studies (CLS) and the research group Language and Speech Technology. She is also chair of the advisory board of the Centre for Language and Speech Technology (CLST).

Until 1 September 2024 Nelleke Oostdijk was coordinator of the research master programme in Linguistics and Communication Sciences and teacher ambassador for the Teaching and Learning Centre (TLC).

Research group

Language and Speech Technology

Tags: Computational Linguistics, Text Mining, Corpus Linguistics, Deep Syntactic Parsing, Language Resources

Publications

Key publications

Tan, F., Hettiarachchi, H., Hürriyetoğlu, A., Oostdijk, N.H.J., Caselli, T., Nomoto, T., Uca, O., Liza, F. & Ng, S. (2023). RECESS. Resource for Extracting Cause, Effect, and Signal Spans. In Proceedings of the 13th International Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics 2023 (IJCNLP-AACL 2023) (pp. 66-82). Association for Computational Linguistics Full text
Larson, M., Oostdijk, N.H.J. & Zuiderveen Borgesius, F.J. (2021). Not Directly Stated, Not Explicitly Stored: Conversational Agents and the Privacy Threat of Implicit Information. In J. Masthoff & E. Herder (Eds.), UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, Utrecht Netherlands June 21 - 25, 2021 (pp. 388–391). New York: Association for Computing Machinery doi: 10.1145/3450614.3463601 Full text
D’hondt, E., Verberne, S., Oostdijk, N.H.J. & Boves, L.W.J. (2017). Patent Classification on Subgroup Level Using Balanced Winnow. In M. Lupu, K. Mayer, N. Kando & A.J. Trippe (Eds.), Current Challenges in Patent Information Retrieval (The Information Retrieval Series, 37) (pp. 299-324). Berlin, Heidelberg: Springer Berlin Heidelberg. Full text
Oostdijk, N.H.J., Reynaert, R., Schuurman, I. & Hoste, V. (2013). The construction of a 500-million-word reference corpus of contemporary written Dutch. In P. Spyns & J. Odijk (Eds.), Essential Speech and Language Technology for Dutch (Theory and Applications of Natural Language Processing) (pp. 219-247). Berlin: Springer. Full text
Oostdijk, N.H.J. (1991). Corpus Linguistics and the Automatic Analysis of English. Amsterdam: Rodopi.

Publication lists

Projects

Teaching

Ancillary activities

About

Nelleke Oostdijk researches how predefined linguistic patterns can be used to automatically extract information from large amounts of text. For example, with this method, an investigative authority can detect only those tweets that contain threatening language among millions of tweets.