Our latest publications - LTG

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View all works in Cristin

  • Lison, Pierre; Korsvoll, Nils Hallvard & Lundberg, Aase-Kristine Aasen (2022). Kjernekraft -er det farlig, eller er det fremtiden? Morgenbladet. ISSN 0805-3847.
  • van der Aalst, Wil M. P.; Batagelj, Vladimir; Buzmakov, Alexey; Ignatov, Dmitry I.; Kalenkova, Anna & Khachay, Michael [Show all 18 contributors for this article] (2021). Preface. Communications in Computer and Information Science. ISSN 1865-0929. 1357, p. vii–x.
  • Welzl, Michael; Oepen, Stephan; Cezary Jaskula, Cezary; Griwodz, Carsten & Islam, Safiqul (2021). Collaboration in the IETF: an initial analysis of two decades in email discussions. Computer communication review. ISSN 0146-4833. 51(3), p. 29–32. doi: 10.1145/3477482.3477488.
  • Touileb, Samia; Øvrelid, Lilja & Velldal, Erik (2021). Using Gender- and Polarity-informed Models to Investigate Bias.
  • Lison, Pierre; Bølstad, Jørgen & Kvellestad, Anders (2021). Forvirrende pandemistatistikk: Hva skal vi med logaritmer i grafer? Morgenbladet. ISSN 0805-3847.
  • 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]. titan.uio.no.
  • Lison, Pierre (2021). Skweak: Weak Supervision Made Easy for NLP.
  • Lison, Pierre (2021). Fremdrift i forskningsprosjekter.
  • 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.
  • Lison, Pierre; Barnes, Jeremy Claude & Hubin, Aliaksandr (2021). skweak: weak supervision made easy for NLP.
  • Lison, Pierre & Falkum, Ingrid Lossius (2020). Hva skjedde med «Don’t be evil»? Morgenbladet. ISSN 0805-3847.
  • Lison, Pierre (2020). Named Entity Recognition without Labelled Data: A Weak Supervision Approach.
  • Løland, Anders; Lison, Pierre & Falkum, Ingrid Lossius (2020). Episode 6: Kan språkteknologi virkelig forstå språk? Med Ingrid Lossius Falkum og Pierre Lison. [Internet]. Sannsynligvis VIKTIG (podkast).
  • Løland, Anders & Lison, Pierre (2020). Episode 5: Hva er språkteknologi (eller NLP)? Med Pierre Lison. [Internet]. Sannsynligvis VIKTIG (podkast).
  • Pilán, Ildikó; Brekke, Pål H. & Øvrelid, Lilja (2020). Building a Norwegian Lexical Resource for Medical Entity Recognition.
  • Prévot, Laurent; Magistry, Pierre & Lison, Pierre (2019). Should we use movie subtitles to study linguistic patterns of conversational speech? A study based on French, English and Taiwan Mandarin.
  • 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.
  • Rønningstad, Egil & Øvrelid, Lilja (2020). Targeted Sentiment Analysis for Norwegian text. Universitetet i Oslo.
  • Strand, Håvard; Velldal, Erik & Landsverk, Peder (2019). Partial Automation of the Data-collection Process. University of Oslo.

View all works in Cristin