Lilja Øvrelid

Image of Lilja Øvrelid
Norwegian version of this page
Phone +47 22840850
Visiting address Gaustadalléen 23B Ole-Johan Dahls hus 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

I will be on sabbatical for the academic year 2022/23 and will be a visiting researcher in the COLT group at Pompeu Fabra University, Barcelona, Spain.

Academic Interests

My research focuses on various types of syntactic and semantic processing of natural language text using machine learning methods, such as dependency parsing, negation/speculation analysis and sentiment analysis. This involves both the development of resources for machine learning, the development of systems which automate syntactic and semantic analysis of language, as well as the application of these systems in downstream tasks.


Tags: language technology, Natural Language Processing, Machine Learning, Computational Linguistics


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  • Dobnik, Simon & Øvrelid, Lilja (2021). Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Linköping University Electronic Press. ISBN 978-91-7929-614-8. 467 p.

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  • Touileb, Samia; Øvrelid, Lilja & Velldal, Erik (2021). Using Gender- and Polarity-informed Models to Investigate Bias.
  • Velldal, Erik; Walsø, Claes Lyth & Øvrelid, Lilja (2021). Nå kan maskinene tolke hva du føler og mener. [Internet]. forskning,no.
  • Velldal, Erik; Walsø, Claes Lyth & Øvrelid, Lilja (2021). Nå er maskinene klare til å tolke hva du føler og mener. [Internet].
  • Lison, Pierre; Pilán, Ildikó; Sánchez Ruenes, David; Batet, Montserrat & Øvrelid, Lilja (2021). Anonymisation Models for Text Data: State of the art, Challenges and Future Directions.
  • Lison, Pierre; Pilán, Ildikó; Øvrelid, Lilja; Sánchez Ruenes, David & Batet, Montserrat (2021). Anonymisation Models for Text Data: State of the art, Challenges and Future Directions.
  • Pilán, Ildikó; Brekke, Pål H. & Øvrelid, Lilja (2020). Building a Norwegian Lexical Resource for Medical Entity Recognition.
  • Øvrelid, Lilja (2019). Forskjeller mellom talemål og skrift. Hva kan trebanker fortelle oss?
  • Dahl, Fredrik Andreas; Kasicheyanula, Taraka Rama; Hurlen, Petter; Brekke, Pål Haugar; Husby, Haldor & Gundersen, Tore [Show all 8 contributors for this article] (2019). Classifying Norwegian radiology reports with deep learning.
  • Øvrelid, Lilja (2012). Constituent-based discriminative ranking for negation resolution.
  • Øvrelid, Lilja (2010). Training Parsers on Partial Trees: A Cross-language Comparison.
  • Øvrelid, Lilja (2010). Towards a Large Parallel Corpus of Cleft Constructions.
  • Øvrelid, Lilja (2010). Syntactic Scope Resolution in Uncertainty Analysis.
  • Rønningstad, Egil & Øvrelid, Lilja (2020). Targeted Sentiment Analysis for Norwegian text. Universitetet i Oslo.

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Published Nov. 4, 2010 2:27 PM - Last modified Aug. 12, 2022 3:36 PM