51 datasets found

The named entity recognition model for fine-grained categories of entities (82 types) was trained on the KPWr corpus using Polish RoBERTa base language model. Details can be...

Named entities annotation guidelines describing the process of manual annotation of documents in Polish Corpus of Wrocław University of Technology (KPWr)

Brand-Product Relation Extraction Using Heterogeneous Vector SpaceRepresentations, Janz, A., Piasecki, M., Kopociński, Ł., Pluwak, A.

Liner2.6 NER NKJP model The package contains a pre-trained Liner2 (https://github.com/CLARIN-PL/Liner2) model for recognition named entities according to NKJP guidelines. The...

The task consists in developing a tool for the lemmatization of proper names and multi-word phrases. The generated lemmas should follow the KPWr guidelines...

Guidelines for named entity and multi-word phrase lemmatization used in in KPWr (Polish Corpus of Wrocław University of Technology).

Mapping between named entities types, SUMO catagories and plWordNet synsets

This resource contains Polish named entities connected with terminology from available resources within Linked Open Data (e.g. WordNet, DBPedia, Wikipedia, etc.).

Mapping between infobox attributes used in Polish Wikipedia and KPWr named entity schema.

Dump of the Polish Corpus of Wrocław University of Technology (KPWr) containing a set of documents annotated with named entities and keywords.

The task consists in developing a tool for lemmatization of proper names and multi-word phrases. The generated lemmas should follow the KPWr guidelines...