Zobrazeno 1 - 10
of 12 951
pro vyhledávání: '"A, Öhman"'
Publikováno v:
Minds & Machines 35, 2 (2025)
We perform a mixed-method frame semantics-based analysis on a dataset of more than 49,000 sentences collected from 5846 news articles that mention AI. The dataset covers the twelve-month period centred around the launch of OpenAI's chatbot ChatGPT an
Externí odkaz:
http://arxiv.org/abs/2408.06120
Autor:
Wretblad, Niklas, Holmström, Oskar, Larsson, Erik, Wiksäter, Axel, Söderlund, Oscar, Öhman, Hjalmar, Pontén, Ture, Forsberg, Martin, Sörme, Martin, Heintz, Fredrik
Relational databases often suffer from uninformative descriptors of table contents, such as ambiguous columns and hard-to-interpret values, impacting both human users and text-to-SQL models. In this paper, we explore the use of large language models
Externí odkaz:
http://arxiv.org/abs/2408.04691
We computationally completely enumerate a number of types of row-column designs up to isotopism, including double, sesqui and triple arrays as known from the literature, and two newly introduced types that we call mono arrays and AO-arrays. We calcul
Externí odkaz:
http://arxiv.org/abs/2406.16444
Autor:
Stollenwerk, Felix, Öhman, Joey, Petrelli, Danila, Wallerö, Emma, Olsson, Fredrik, Bengtsson, Camilla, Horndahl, Andreas, Gandler, Gabriela Zarzar
This handbook is a hands-on guide on how to approach text annotation tasks. It provides a gentle introduction to the topic, an overview of theoretical concepts as well as practical advice. The topics covered are mostly technical, but business, ethica
Externí odkaz:
http://arxiv.org/abs/2310.11780
We have trained a named entity recognition (NER) model that screens Swedish job ads for different kinds of useful information (e.g. skills required from a job seeker). It was obtained by fine-tuning KB-BERT. The biggest challenge we faced was the cre
Externí odkaz:
http://arxiv.org/abs/2310.11769
Autor:
Eugenia Diegoli, Emily Öhman
Publikováno v:
Language and Cognition, Vol 16, Pp 1296-1318 (2024)
This article sheds light on the significant yet nuanced roles of shame and guilt in influencing moral behaviour, a phenomenon that became particularly prominent during the COVID-19 pandemic with the community’s heightened desire to be seen as moral
Externí odkaz:
https://doaj.org/article/ebf5ed9e9dec4424903886b4fc963b5c
Autor:
Ekgren, Ariel, Gyllensten, Amaru Cuba, Stollenwerk, Felix, Öhman, Joey, Isbister, Tim, Gogoulou, Evangelia, Carlsson, Fredrik, Heiman, Alice, Casademont, Judit, Sahlgren, Magnus
This paper details the process of developing the first native large generative language model for the Nordic languages, GPT-SW3. We cover all parts of the development process, from data collection and processing, training configuration and instructio
Externí odkaz:
http://arxiv.org/abs/2305.12987
Autor:
Öhman, Emily, Rossi, Riikka
Publikováno v:
Journal of Data Mining & Digital Humanities, NLP4DH (August 13, 2023) jdmdh:11164
We propose to use affect as a proxy for mood in literary texts. In this study, we explore the differences in computationally detecting tone versus detecting mood. Methodologically we utilize affective word embeddings to look at the affective distribu
Externí odkaz:
http://arxiv.org/abs/2304.02894
Autor:
Paula Turkki, Iftekhar Chowdhury, Tiina Öhman, Latifeh Azizi, Markku Varjosalo, Vesa P. Hytönen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Integrin adaptor proteins, like tensin-2, are crucial for cell adhesion and signaling. However, the function of tensin-2 beyond localizing to focal adhesions remain poorly understood. We utilized proximity-dependent biotinylation and Strep-t
Externí odkaz:
https://doaj.org/article/2a382a2d36db49af9d439a20dfaefb33
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Men’s violence against women is a global health problem causing physical, mental, sexual and reproductive ill-health. The World Health Organisation has estimated that every third woman in the world has been exposed to physical a
Externí odkaz:
https://doaj.org/article/89842236a0ea4d18b35b9bbb39b65921