Named Entity Recognition (NER) is a fundamental NLP tasks with a wide range of practical applications. The performance of state-of-the-art NER methods depends on high quality manually anotated datasets which still do not exist for some languages. In this work we aim to remedy this situation in Slovak by introducing WikiGoldSK, the first sizable human labelled Slovak NER dataset. 
We benchmark it by evaluating state-of-the-art multilingual Pretrained Language Models and comparing it to the existing silver-standard Slovak NER dataset.
We also conduct few-shot experiments and show that training on a sliver-standard dataset yields better results. To enable future work that can be based on Slovak NER, we release the dataset, code, as well as the trained models publicly under permissible licensing terms at https://github.com/NaiveNeuron/WikiGoldSK.

WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition

**Organizers:** 
Jakub Piskorski, Polish Academy of Sciences, Poland
Bogdan Babych, Heidelberg University, Germany
Michał Marcińczuk, Wroclaw University of Science and Technology, Samurai Labs, Poland
Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
Maciej Ogrodniczuk, Polish Academy of Sciences, Poland
Senja Pollak, Jožef Stefan Institute, Slovenia
Pavel Přibáň, University of West Bohemia, Plzeň, Czech Republic
Josef Steinberger, University of West Bohemia, Plzeň, Czech Republic
Roman Yangarber, University of Helsinki, Finland
Piotr Rybak, Polish Academy of Sciences, Poland For more details, please visit our [workshop website](http://bsnlp.cs.helsinki.fi/index.html))

SlavNLP-2023: The 9th Biennial Workshop on Slavic NLP

workshop paper

### Welcome to the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 
Continuing its mission of expanding and involving the science community of all European countries, EACL had selected the Ukrainian community for the 16th EACL, which took place online due to the COVID pandemic. Unfortunately, the ongoing war made the organisation in Kyiv impossible. Considering the importance of physical interaction among researchers, especially after the restrictions imposed by the COVID pandemic, in addition to an online mode, the conference will be held in Dubrovnik, Croatia, from 2 to 6 of May, 2023. The original aim of strengthening the connection with the Ukrainian community will not change as our program will feature a dedicated session and a workshop to highlight work on Ukrainian language technologies. As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

You need to register for the conference in order to access this site. Please visit https://2023.eacl.org/registration for more information.

EACL 2023

As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

Marek Šuppa

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WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition

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