My name is Pierre Lison, and I am a Senior Research Scientist at Norsk Regnesentral (Norwegian Computing Center, NR for short), an independent research institute located in Oslo, Norway. I am also a part-time Associate Professor at the Language Technology Group, University of Oslo.

My research interests are in natural language processing (language technology), statistical modelling and machine learning. In my previous research, I worked on topics such as human-robot interaction, conversational interfaces and statistical/neural machine translation.

I am currently leading two research projects, both funded by the Research Council of Norway. The first, CLEANUP, seeks to develop new, data-driven methods for removing personal information from text data. The other, GraphDial, focuses on dialogue management and investigates the use of graphs (and weak supervision) to represent the dialogue state of rich conversational domains.

Other research projects I have been involved with include SAFERS (speech analytics for emergency response services), DialMT (dialogue modelling for machine translation) and Oslo Analytics (cyber-threat intelligence). I also participated in the centre for research-based innovation Big Insight: Statistics for the knowledge economy.

I’m also a member of the Young Academy of Norway.



Ingrid Lossius Falkum and myself wrote an article to debunk some of the hype around neural language models in Aftenposten (Norway's second largest newspaper).


We have two available PhD positions, funded by the CLEANUP and GraphDial projects! See here and here to apply. Application deadline: August 15 and 16.


We have just started an exciting new project on dialogue modelling and human-robot interaction! The GraphDial project will investigate the use of probabilistic graphs for dialogue management. GraphDial will last for four years and is funded by a Young Research Talent grant from the Research Council of Norway.


The CLEANUP project has now officially started! CLEANUP is a 4-years project funded by the Research Council of Norway and will develop data-driven models to anonymise text documents containing personal information. The project brings together researchers in natural language processing, computational privacy, health informatics and IT law, along with Norwegian public and private organisations.