Prof. Lilja Øvrelid

About us

Picture of Lilja Øvrelid

Details

Role
Work Package Leader
Connected to
WP5: Norwegian Language Technologies
Affiliation
University of Oslo

Contact

/ Biography

Lilja Øvrelid is a professor and group leader for the Language Technology Group (LTG) within the section for Machine Learning at the Department of Informatics, University of Oslo. Her 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.

/ Publications

Publications from 2020 and before are not direct results of the SFI MediaFutures, but are key results from our team members working on related topics in MediaFutures.

2022

Occupational Biases in Norwegian and Multilingual Language Models Workshop

Touileb, Samia; Øvrelid, Lilja; Velldal, Erik

2022.

Abstract | Links | BibTeX

2021

Responsible media technology and AI: challenges and research directions Journal Article

Trattner, Christoph; Jannach, Dietmar; Motta, Enrico; Meijer, Irene Costera; Diakopoulos, Nicholas; Elahi, Mehdi; Opdahl, Andreas Lothe; Tessem, Bjørnar; Borch, Njål Trygve; Fjeld, Morten; Øvrelid, Lilja; Smedt, Koenraad De; Moe, Hallvard

In: AI and Ethics, 2021.

Links | BibTeX

Using Gender- and Polarity-Informed Models to Investigate Bias Inproceedings

Touileb, Samia; Øvrelid, Lilja; Velldal, Erik

In: Association for Computational Linguistics, 2021.

Links | BibTeX

Using Gender- and Polarity-informed Models to Investigate Bias Working paper

Touileb, Samia; Øvrelid, Lilja; Velldal, Erik

2021.

Links | BibTeX

2020

Gender and sentiment, critics and authors: a dataset of Norwegian book reviews Journal Article

Touileb, Samia; Øvrelid, Lilja; Velldal, Erik

In: Gender Bias in Natural Language Processing. Association for Computational Linguistics, 2020, (Pre SFI).

Abstract | Links | BibTeX

Improving sentiment analysis with multi-task learning of negation Journal Article

Barnes, J; Velldal, Erik; Øvrelid, Lilja

In: 2020, (Pre SFI).

Links | BibTeX

Sentiment analysis is not solved! Assessing and probing sentiment classification Proceeding

Barnes, J; Øvrelid, Lilja; Velldal, Erik

2020, (Pre SFI).

Links | BibTeX

A Fine-Grained Sentiment Dataset for Norwegian Proceeding

Øvrelid, Lilja; Mæhlum, P; Barnes, J; Velldal, Erik

2020, (Pre SFI).

Links | BibTeX

NorNE: Annotating Named Entities for Norwegian Proceeding

Jørgensen, F; Aasmoe, T; Husevåg, ASR; Øvrelid, Lilja; Velldal, Erik (Ed.)

2020, (Pre SFI).

Links | BibTeX

2019

Lexicon information in neural sentiment analysis: a multi-task learning approach Conference

Barnes, Jeremy; Touileb, Samia; Øvrelid, Lilja; Velldal, Erik

Linköping University Electronic Press, 2019, (Pre SFI).

Abstract | Links | BibTeX

2018

Diachronic word embeddings and semantic shifts: a survey Proceeding

Kutuzov, A; Øvrelid, Lilja; Szymanski, T; Velldal, Erik

2018, (Pre SFI).

Links | BibTeX

NoReC: The Norwegian Review Corpus Proceeding

Velldal, Erik; Øvrelid, Lilja; Bergem, Eivind Alexander; Stadsnes, Cathrine; Touileb, Samia; Jørgensen, Fredrik

2018, (Pre SFI).

Abstract | BibTeX

2016

Universal dependencies for Norwegian Proceeding

Øvrelid, Lilja; Hohle, P

2016, (Pre SFI).

Links | BibTeX

2012

Representing and resolving negation for sentiment analysis Proceeding

Lapponi, E; Read, J; Øvrelid, Lilja

2012, (Pre SFI).

Links | BibTeX

Speculation and negation: Rules, rankers, and the role of syntax Journal Article

Velldal, Erik; Øvrelid, Lilja; Read, J; Oepen, S

In: 2012, (Pre SFI).

Links | BibTeX