Using Text Prediction for Facilitating Input and Improving Readability of Clinical Text. - Magnus Ahltorp; Maria Skeppstedt; Hercules Dalianis; Maria Kvist (MedInfo, 2013)

HokuMed in NTCIR-11 MedNLP-2: Automatic Extraction of Medical Complaints from Japanese Health Records Using Machine Learning and Rule-based Methods. - Magnus Ahltorp; Hideyuki Tanushi; Shiho Kitajima; Maria Skeppstedt; Rafal Rzepka; Kenji Araki (NTCIR, 2014)

Expansion of medical vocabularies using distributional semantics on Japanese patient blogs. - Magnus Ahltorp; Maria Skeppstedt; Shiho Kitajima; Aron Henriksson; Rafal Rzepka; Kenji Araki (J. Biomed. Semant., 2016)

Towards a Structured Evaluation of Improv-bots: Improvisational Theatre as a Non-goal-driven Dialogue System. - Maria Skeppstedt; Magnus Ahltorp (LaCATODA@IJCAI, 2018)

Topic modelling applied to a second language: A language adaptation and tool evaluation study. - Maria Skeppstedt; Magnus Ahltorp; Kostiantyn Kucher; Andreas Kerren; Rafal Rzepka; Kenji Araki (CLARIN Annual Conference, 2019)

Sketches of a graphical user interface for word alignment annotation. - Maria Skeppstedt; Magnus Ahltorp; Gunnar Eriksson; Rickard Domeij (KONVENS, 2019)

Line-a-line: A Tool for Annotating Word-Alignments. - Maria Skeppstedt; Magnus Ahltorp; Gunnar Eriksson; Rickard Domeij (BUCC@LREC, 2020)

A Pipeline for Manual Annotations of Risk Factor Mentions in the COVID-19 Open Research Dataset. - Maria Skeppstedt; Magnus Ahltorp; Gunnar Eriksson; Rickard Domeij (CLARIN Annual Conference, 2020)

From word clouds to Word Rain: Revisiting the classic word cloud to visualize climate change texts. - Maria Skeppstedt; Magnus Ahltorp; Kostiantyn Kucher; Matts Lindström (Inf. Vis., 2024)