# 13 Relations

Relation extraction refers to the process of identifying and categorizing semantic relationships between entities within a text. This task is vital for understanding the structure and meaning of complex language data, and it has significant applications in various NLP-related tasks, for example information retrieval, knowledge base construction etc.

# Introduction to Tags

This chapter summarises the tags for relations. A more detailed presentation can be found in the guidelines in the Annotation Guidelines chapter.<br />

# Annotation Guidelines

This chapter summarizes the annotation guidelines for extracting relations as applied to Slovene texts. The guidelines are arranged from the latest, up-to-date version to the oldest version.<br />

**Version 1.2 (DRAFT)**<br />
ŽITNIK, Slavko, KREK, Simon, ROBNIK-ŠIKONJA, Marko, GANTAR, Polona, ARHAR HOLDT, Špela, PRELEVIKJ, Marko: *Smernice za označevanje povezav v slovenskem jeziku.* [[DOCX]](https://wiki.cjvt.si/attachments/49) - only in Slovene

# References and Links

This chapter compiles relevant references and provides links to projects where the relation extraction has been developed and applied to Slovene texts.<br />

**Corpora containing automatically assigned tags:**<br />
Štravs, Miha; Knez, Timotej and Žitnik, Slavko, 2022, Slovene corpus for general relation extraction SloREL 1.1, Slovenian language resource repository CLARIN.SI, ISSN 2820-4042, [http://hdl.handle.net/11356/1730](http://hdl.handle.net/11356/1730).

Štravs, Miha; Knez, Timotej and Žitnik, Slavko, 2022, Slovene corpus for general relation extraction SloREL 1.0, Slovenian language resource repository CLARIN.SI, ISSN 2820-4042, [http://hdl.handle.net/11356/1730](http://hdl.handle.net/11356/1730).<br />