Teaching

In addition to teaching, I have a university pedagogy training from 2019, from the University of Oslo. The pedagogy training, known as the teaching and learning in higher education, is a foundational program for academic staff in Norway. The training program aims at improving teaching and pedagogical skills. It is planned over 150 hours, and is composed of an introductory module of 120 hours, and an elective module of 30 hours covering research supervision.

Courses taught

• DIGI117 – Natural Language Processing.
  All levels.
  Department of Information Science and Media Studies. University of Bergen.
  2023, 2024

• INFO371 – Natural Language Processing.
  Master’s level.
  Department of Information Science and Media Studies. University of Bergen.
  2022, 2024

• IN1140 – Introduction to Language Technology.
  Bachelor level.
  Department of Informatics. University of Oslo.
  2017, 2018, 2019, 2020, and 2021

• INFO134 – Client programming (CSS3, HTML5, and JavaScript).
  Bachelor course.
  Department of Information Science and Media Studies. University of Bergen.
  2017

• INFO103 – Information and Knowledge.
  Bachelor level.
  Department of Information Science and Media Studies. University of Bergen.
  2015

• Teaching assistant INFO103 – Information and Knowledge.
  Bachelor level.
  Department of Information Science and Media Studies. University of Bergen.
  2014

• Invited guest lecturer at the Norwegian School of Economics (NHH).
  Executive MBA students.
  NHH, Bergen.
  2023

• Invited guest lecturer AIKI100 – Examen facultatum - Introduction to Artificial Intelligence.
  Bachelor level.
  Department of Information Science and Media Studies. University of Bergen.
  2021, 2022, and 2023

• Invited guest lecturer MA8701 – Advanced statistical methods in inference and learning.
  PhD course in statistics.
  Department of Mathematical Sciences. NTNU (Norwegian University of Science and Technology).
  2021

• Guest lecturer IN2110 – Methods in Language Technology.
  Bachelor course.
  Department of Informatics. University of Oslo.
  2019

Supervision

PhD students

• Bilal Mahmood. University of Bergen. University of Bergen. 2023 – 2027. PhD Thesis: Developing and evaluating an impactful media recommender system for responsible user personalization and engagement. Co-supervised with Mehdi Elahi.

• Huiling You. University of Oslo. 2021 – 2025. PhD Thesis: Event detection and extraction. Co-supervised with Lilja Øvrelid.

Master’s students

• Semantic change detection for Norwegian.
  Sigrid Riiser Kristiansen. University of Oslo. 2022 – 2023. Co-supervised with Andrey Kutusov.

• Investigating Biases in Rules Extracted from Language Models.
  Sophie Martina Blum. University of Bergen. 2022 – 2023.CO-supervised with Ana Ozaki.

• Named Entity Recognition in Speech-to-Text Transcripts.
  Peter Røysland Aarnes. University of Bergen. 2022 – 2023. Co-supervised with Lubos Steskal.

• Automated Identification of Severe Errors in Speech to Text Transcripts.
  Frederik Hjelde Rosenvinge. University of Bergen. 2022 – 2023. Co-supervised with Lubos Steskal.

• Semantic Word Error Rate: A Metric Based on Semantic Distance.
  Espen James Rodriguez Stokke. University of Bergen. 2022 – 2023. Co-supervised with Lubos Steskal.

• Analyzing gender and sentiment in Norwegian book reviews.
  Tellef Seierstad. University of Oslo. 2022 – 2023. Co-supervisd with Erik Velldal.

• Fine-grained Arabic dialect identification.
  Helene Bøsei Olsen. University of Oslo. 2022 – 2023. Co-supervised with Erik Velldal.

• Experiments on Satire Detection for Norwegian News Articles.
  Katarina Ekren. University of Bergen. 2021 – 2022. Co-supervised with Olav Hjertaker.

• Cross-Lingual Approaches to Identifying Argument Components and Relations in Norwegian Reviews.
  Yauhen Khutarniuk. University of Oslo. 2020 – 2022. Co-supervised with Lilja Øvrelid.

• Annotation Projection and Cross-Lingual approaches to Argument Mining for Norwegian.
  Anders Næss Evensen. University of Oslo. 2018 – 2020. Co-supervised with Lilja Øvrelid.

• Exploring automatic approaches for sentiment lexicon creation for Norwegian.
  Karianne Kirkeby Amundsen. University of Oslo. 2017 – 2019. Co-supervised with Erik Velldal.

• Identifying sentiment bearing sentences for reviews in Norwegian.
  Mateo Caycedo Alvarez. University of Oslo. 2017 – 2019. Co-supervised with Erik Velldal.