Zobrazeno 1 - 10
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pro vyhledávání: '"Öhman A"'
The recent explosion of attention to AI is arguably one of the biggest in the technology's media coverage. To investigate the effects it has on the discourse, we perform a mixed-method frame semantics-based analysis on a dataset of more than 49,000 s
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:
Öhman Aspenes, Kirsten, Björkén, Anna
Bakgrund: Förmaksflimmer är den vanligaste formen av hjärtarytmier och leder till försämrad pumpförmåga och risk för att drabbas av stroke. Personer med förmaksflimmer lever med andra ord med ett långvarigt tillstånd som potentiellt kan le
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-102537
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:
Öhman, Joey, Verlinden, Severine, Ekgren, Ariel, Gyllensten, Amaru Cuba, Isbister, Tim, Gogoulou, Evangelia, Carlsson, Fredrik, Sahlgren, Magnus
Pre-training Large Language Models (LLMs) require massive amounts of text data, and the performance of the LLMs typically correlates with the scale and quality of the datasets. This means that it may be challenging to build LLMs for smaller languages
Externí odkaz:
http://arxiv.org/abs/2303.17183
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
