Amaru Cuba Gyllensten

Orcid: 0000-0002-2236-4978

According to our database1, Amaru Cuba Gyllensten authored at least 15 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
GPT-SW3: An Autoregressive Language Model for the Scandinavian Languages.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
GPT-SW3: An Autoregressive Language Model for the Nordic Languages.
CoRR, 2023

The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling.
CoRR, 2023

2022
Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes.
npj Digit. Medicine, 2022

A comparative evaluation and analysis of three generations of Distributional Semantic Models.
Lang. Resour. Evaluation, 2022

Lessons Learned from GPT-SW3: Building the First Large-Scale Generative Language Model for Swedish.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
A comprehensive comparative evaluation and analysis of Distributional Semantic Models.
CoRR, 2021

Semantic Re-tuning with Contrastive Tension.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2018
R-grams: Unsupervised Learning of Semantic Units in Natural Language.
CoRR, 2018

Measuring Issue Ownership using Word Embeddings.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

Distributional Term Set Expansion.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2016
The Gavagai Living Lexicon.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015
Navigating the Semantic Horizon using Relative Neighborhood Graphs.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Evaluating Learning Language Representations.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015


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