Nettsider med emneord «NLP»

Publisert 4. nov. 2010 14:24
Publisert 28. mars 2022 13:49

An important priority for LTG in recent years has been to create NLP resources for the Norwegian language, both in terms of modeling and datasets. This page provides an overview of our existing and ongoing projects to support Norwegian NLP.

Publisert 12. juni 2017 23:12

The SANT project develops resources for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group (LTG) at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.

Publisert 15. feb. 2019 23:04

SANT will be featured at the next AI Lounge at UiO, Feb. 26.

Publisert 23. sep. 2018 08:44

The SANT project will be presented at the Cutting Edge Festival.

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Publisert 24. jan. 2020 14:10

SANT and opinion mining to be presented at the upcoming Impact Breakfast about AI.

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Publisert 3. okt. 2019 21:41

Two new papers from SANT were presented at the NoDaLiDa conference.

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Publisert 14. jan. 2021 13:26

In joint work, SANT and NLPL/EOSC-Nordic have trained and released the first large-scale transformer-based language model for Norwegian: NorBERT!

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Publisert 8. apr. 2021 16:15

We have just released a new dataset for modeling sentence-level polarity for Norwegian: NoReCsentence

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Publisert 6. apr. 2021 13:21

Today, Titan.uio.no writes about sentiment analysis and how the SANT work will be continued in two new Centres for Research-based Innovation.

Publisert 4. nov. 2010 14:24
visualization of the content being discussed by participants
Publisert 3. okt. 2022 15:40

We can analyze discussions from github and mailing lists to better understand the design reasons underlying network protocols. A tool could give a much better way of presenting an RFC!

Publisert 18. okt. 2018 15:52
Publisert 22. okt. 2020 09:52
Publisert 16. sep. 2022 13:15
Publisert 12. okt. 2016 09:51
Publisert 25. okt. 2020 18:06
Publisert 24. okt. 2015 00:15
Publisert 19. okt. 2021 09:35
Publisert 11. okt. 2016 22:15

Graph representations of word embedding models: evaluating existing approaches and possible applications in language data processing and visualization.