no code implementations • NoDaLiDa 2021 • Magnus Sahlgren, Fredrik Carlsson, Fredrik Olsson, Love Börjeson
When is it beneficial for a research community to organize a broader collaborative effort on a topic, and when should we instead promote individual efforts?
no code implementations • WS (NoDaLiDa) 2019 • Magnus Sahlgren, Fredrik Olsson
This paper investigates the presence of gender bias in pretrained Swedish embeddings.
no code implementations • EMNLP (MRQA) 2021 • Fredrik Carlsson, Magnus Sahlgren, Fredrik Olsson, Amaru Cuba Gyllensten
This paper introduces a long-range multiple-choice Question Answering (QA) dataset, based on full-length fiction book texts.
no code implementations • 18 Oct 2023 • Felix Stollenwerk, Joey Öhman, Danila Petrelli, Emma Wallerö, Fredrik Olsson, Camilla Bengtsson, Andreas Horndahl, Gabriela Zarzar Gandler
This handbook is a hands-on guide on how to approach text annotation tasks.
2 code implementations • 11 Oct 2021 • Fredrik Olsson, Magnus Sahlgren
In this paper, we identify the state of data as being an important reason for failure in applied Natural Language Processing (NLP) projects.
no code implementations • 4 Mar 2021 • Markus Borg, Joshua Bronson, Linus Christensson, Fredrik Olsson, Olof Lennartsson, Elias Sonnsjö, Hamid Ebabi, Martin Karsberg
Moreover, bigger questions related to societal and environmental impact cannot be tackled by an ADAS supplier in isolation.
2 code implementations • 4 Sep 2020 • Fredrik Olsson, Magnus Sahlgren
This document concerns data readiness in the context of machine learning and Natural Language Processing.
no code implementations • LREC 2020 • Fredrik Olsson, Magnus Sahlgren, Fehmi ben Abdesslem, Ariel Ekgren, Kristine Eck
We cast the problem of event annotation as one of text categorization, and compare state of the art text categorization techniques on event data produced within the Uppsala Conflict Data Program (UCDP).
no code implementations • WS 2018 • Magnus Sahlgren, Tim Isbister, Fredrik Olsson
This paper discusses the question whether it is possible to learn a generic representation that is useful for detecting various types of abusive language.
no code implementations • LREC 2016 • Magnus Sahlgren, Amaru Cuba Gyllensten, Fredrik Espinoza, Ola Hamfors, Jussi Karlgren, Fredrik Olsson, Per Persson, Akshay Viswanathan, Anders Holst
This paper presents the Gavagai Living Lexicon, which is an online distributional semantic model currently available in 20 different languages.