2023 Lars Ahrenberg, Daniel Holmer, Stefan Holmlid, Arne Jönsson (2023) Analysing changes in official use of the design concept using SweCLARIN resources Selected papers from the CLARIN Annual Conference 2022 Continue to DOI Daniel Holmer, Lars Ahrenberg, Julius Monsen, Arne Jönsson, Mikael Apel, Marianna Blix Grimaldi (2023) Who said what? Speaker Identification from Anonymous Minutes of Meetings Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) 2022 Elsa Andersson, Arne Jönsson (2022) Methods for increasing cohesion in automatically extracted summaries of Swedish news articles Bengt Danielsson, Marina Santini, Peter Lundberg, Yosef Al-Abasse, Arne Jönsson, Emma Eneling, Magnus Stridsman (2022) Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GAN-BERT LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, p. 5428-5435 Evelina Rennes, Marina Santini, Arne Jönsson (2022) The Swedish Simplification Toolkit: Designed with Target Audiences in Mind, Proceedings of the 2nd Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) within the 13th Language Resources and Evaluation Conference, p. 31-38
Lars Ahrenberg, Daniel Holmer, Stefan Holmlid, Arne Jönsson (2023) Analysing changes in official use of the design concept using SweCLARIN resources Selected papers from the CLARIN Annual Conference 2022 Continue to DOI
Daniel Holmer, Lars Ahrenberg, Julius Monsen, Arne Jönsson, Mikael Apel, Marianna Blix Grimaldi (2023) Who said what? Speaker Identification from Anonymous Minutes of Meetings Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Elsa Andersson, Arne Jönsson (2022) Methods for increasing cohesion in automatically extracted summaries of Swedish news articles
Bengt Danielsson, Marina Santini, Peter Lundberg, Yosef Al-Abasse, Arne Jönsson, Emma Eneling, Magnus Stridsman (2022) Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GAN-BERT LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, p. 5428-5435
Evelina Rennes, Marina Santini, Arne Jönsson (2022) The Swedish Simplification Toolkit: Designed with Target Audiences in Mind, Proceedings of the 2nd Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) within the 13th Language Resources and Evaluation Conference, p. 31-38
AI creates texts for people with reading difficulties The aim of the TextAD research project at Linköping University is to better understand different types of reading difficulty. This knowledge can then be used to develop digital tools that automatically adapt texts to the needs of readers.
Simplified language on the Web Modern linguistic theory and machine learning will help Swedish government agencies make themselves understood on the internet. Vinnova is investing just over nine million Swedish crowns into a research project led by LiU professor Arne Jönsson.
2023 Lars Ahrenberg, Daniel Holmer, Stefan Holmlid, Arne Jönsson (2023) Analysing changes in official use of the design concept using SweCLARIN resources Selected papers from the CLARIN Annual Conference 2022 Continue to DOI Daniel Holmer, Lars Ahrenberg, Julius Monsen, Arne Jönsson, Mikael Apel, Marianna Blix Grimaldi (2023) Who said what? Speaker Identification from Anonymous Minutes of Meetings Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) 2022 Elsa Andersson, Arne Jönsson (2022) Methods for increasing cohesion in automatically extracted summaries of Swedish news articles
Lars Ahrenberg, Daniel Holmer, Stefan Holmlid, Arne Jönsson (2023) Analysing changes in official use of the design concept using SweCLARIN resources Selected papers from the CLARIN Annual Conference 2022 Continue to DOI
Daniel Holmer, Lars Ahrenberg, Julius Monsen, Arne Jönsson, Mikael Apel, Marianna Blix Grimaldi (2023) Who said what? Speaker Identification from Anonymous Minutes of Meetings Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Elsa Andersson, Arne Jönsson (2022) Methods for increasing cohesion in automatically extracted summaries of Swedish news articles
Language technology tools for digital inclusion The goal of the research project is to make it easier for writers to create texts that are easier to understand. This is achieved by creating a web service in which a number of tools for linguistic analysis and processing of texts are made available.
Digital inclusion in the networked society for groups with special needs The project is based on the challenge that it will be to ensure that all citizens are included in the digital society that requires an ever-increasing degree of access to services and information on the internet.
Simplified language on the Web Modern linguistic theory and machine learning will help Swedish government agencies make themselves understood on the internet. Vinnova is investing just over nine million Swedish crowns into a research project led by LiU professor Arne Jönsson.
Yaman Adamnor Teaching Assistant Lars Ahrenberg Professor Emeritus Joakim Andersson Teaching Assistant Liam Andersson Teaching Assistant Mattias Arvola Senior Associate Professor Franziska Babel Postdoc Peter Berggren Adjunct Associate Professor, Docent Erik Berglund Associate Professor Oscar Bjurling Johan Blomkvist Associate Professor Eva Blomqvist Senior Associate Professor Wilhelm Brodin PhD student Magnus Bång Senior Associate Professor Riley Capshaw PhD student Emma Mainza Chilufya PhD student Hugo Dahl Technician Nils Dahlbäck Mattias Davidsson Teaching Assistant Henrik Eriksson Head of Department, Professor Vanessa Esperance Rodrigues Assistant Professor Josef Fagerström PhD student Johan Falkenjack Adjunct Assistant Lecturer Jody Foo Lecturer Anders Fröberg Lecturer Lucas Granberg Research Assistant Marcus Gullstrand Agneta Gulz Professor Philip Gustafsson Teaching Assistant William Hagman Adjunct Assistant Lecturer Niklas Hallberg Adjunct Professor Ludwig Halvorsen Lecturer Philipp Hock Postdoc Linus Holmberg Daniel Holmer Technician Stefan Holmlid Professor, Head of Unit Sture Hägglund Björn Johansson Professor Robert Johansson Robin Keskisärkkä Assistant Professor Filip Kocas Teaching Assistant Rita Kovordanyi Associate Professor, Docent Ana Kustrak Korper Postdoc Felix Källström Krichau Teaching Assistant Jennie Lindberg Teaching Assistant Mikael Christer Öyvind Lindekrans Felix Lindgren Technician Euclides Lourenco Agathe Malbet PhD student Jalal Maleki Lecturer, Head of Unit Arezou Mortazavi Teaching Assistant Victor Nyberg PhD student Magnus Persson Adjunct Assistant Lecturer Max Pettersson Erik Prytz Senior Associate Professor Eva Ragnemalm Associate Professor Evelina Rennes Postdoc Sahand Sadjadee Lecturer Javad Saeedizade PhD student Oskar Savinainen Teaching Assistant Annika Silvervarg Associate Professor Charlie Simonsson Teaching Assistant Gustaf Söderholm PhD student Sam Thellman Assistant Professor Birgitta Thorslund Senior Associate Professor Sofia Thunberg PhD student Danny Tran Teaching Assistant Szilvia Varro-Gyapay Lecturer Vivian Vimarlund Professor Emerita Katarina Wetter-Edman Adjunct Associate Professor, Docent Tom Ziemke Professor, Head of Unit Show all Show less
Human-Centered Systems (HCS) The Division for Human-Centered Systems is part of the Department of Computer and Information Science. Research and teaching are conducted in the areas of human-centered computing, cognitive science, and information systems.
Department of Computer and Information Science (IDA) The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.