no code implementations • 26 May 2023 • Agnieszka Ławrynowicz
The aim of this primer is to introduce the subject of knowledge engineering in a concise but synthetic way to develop the reader's intuition about the area.
1 code implementation • 16 Apr 2022 • Ania Wróblewska, Agnieszka Kaliska, Maciej Pawłowski, Dawid Wiśniewski, Witold Sosnowski, Agnieszka Ławrynowicz
We provide a few state-of-the-art baselines of named entity recognition models, which show that our dataset poses a solid challenge to existing models.
1 code implementation • 20 May 2021 • Dawid Wiśniewski, Jędrzej Potoniec, Agnieszka Ławrynowicz
We also publish the dataset as well as scripts transforming axiom shapes into pairs of CQ patterns and SPARQL-OWL templates, to make engineers able to adapt the process to their particular needs.
1 code implementation • 15 Dec 2020 • Michał Bień, Michał Gilski, Martyna Maciejewska, Wojciech Taisner, Dawid Wiśniewski, Agnieszka Ławrynowicz
We use the dataset to approach the problem of generating recipes.
Ranked #1 on Recipe Generation on RecipeNLG
no code implementations • 14 Jul 2018 • Gustavo Correa Publio, Diego Esteves, Agnieszka Ławrynowicz, Panče Panov, Larisa Soldatova, Tommaso Soru, Joaquin Vanschoren, Hamid Zafar
The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a top-level ontology that provides a set of classes, properties, and restrictions for representing and interchanging information on machine learning algorithms, datasets, and experiments.
1 code implementation • 19 Oct 2017 • Jedrzej Potoniec, Piotr Jakubowski, Agnieszka Ławrynowicz
We show, by means of a crowdsourcing experiment, that most of the axioms mined by Swift Linked Data Miner are correct and can be added to an ontology.